Along with the fast development of computer technologies, e.g., ubiquitous computing, cloud computing and cyber-physical system, all kinds of networks (e.g., control network, communication network, sensor network, body area network, social network, opportunistic network, cloud-based network, etc.) appeared and were applied in large-scale factories, including a lot of traditional and new industries, e.g., textile industry, coal industry, mining industry, steel industry, machinery industry, petrochemical industry, and biomedical industry, etc. Assisted by various industrial networks, automation in industry can reduce cost greatly because it takes advantage of control systems and information technologies to optimize productivity in the production of goods and delivery of services. However, the industrial environment is dynamic and harsh usually, including extreme temperature, humidity, electromagnetic interference and vibration, which proposed specific requirements to intelligent industrial systems under certain circumstances. All these highlight the criticality of the design, analysis and implementation of intelligent industrial systems.

Applications of wireless sensor networks, body area networks in large-scale industrial applications, such as fault theories of wireless networks, including routing, network control and management, reliable transmission and architectures, etc.
Applications of social networking, big data, ubiquitous computing, mobile computing, and cloud computing in various industries and services (e.g., intelligent systems enhanced by social networking, cloud-based industrial networks, cloud-assisted intelligent systems, etc.)
Analysis of industrial control and communication networks, including network lifetime, security, network scalability, reliability, stability, etc.
Design and choice of industrial, intelligent, application-specific network protocols and algorithms (e.g., EtherNet/IP, Ethernet Powerlink, EtherCAT, Modbus-TCP, Profinet, SERCOS III, etc.) at any communication layer
Opportunistic networks in the industry, such as underwater sensor networks in sewage treatment systems, including establishing a temporary data transmission structure using available devices (e.g., underwater robot, surface data station, surface sink and under water sink), optimizing horizontal multi-hop data links (e.g., 3D data transmission), etc.
Applications of intelligent systems in various industries, including collaborative systems, quality control, optimization, decision support, planning, high-level control concepts (e.g., multi-agent and holonic systems, service-oriented architectures), low-level control concepts (e.g., IEC 61131-3 and IEC 61499-based control), advanced system engineering concepts (e.g., model-driven development, component-based design), supply chains, value chains, virtual organizations, and virtual societies, emergency preparedness, crisis management, business channels, electronic marketplaces, enterprise resources planning, etc.
Design and analysis of real-time embedded industrial systems, including real-time computing, real-time operating systems, real-time communications, networked embedded systems technology, etc.
Novel control techniques, with respect to process control, equipment control, supervisory control, adaptive control, motion control, etc.
Automated manufacturing systems, regarding formal modeling and analysis of manufacturing systems, scheduling of manufacturing systems, queuing systems and petri nets in manufacturing systems, etc.
Computational intelligence in automation, including neural, fuzzy, evolutionary approaches in automation, ant colonies optimization and swarm intelligence in automation, machine learning, expert systems, etc.
Hardware and software design and development for intelligent systems, such as intelligent and humanized production monitoring and control, etc.
Big data analysis and processing in various industries and services, including constructing data analysis models, providing data analysis and processing tools and designing various optimization algorithms based on data analysis.
Crowd-sourced behavior analysis in various industry and services, such as measuring and calculating the diffusion direction and speed of gas in the petrochemical industry based on crowd-sourced data from a large number of and various types of sensors, as well as product and service evaluation.
Simulation and testbed of current industrial networks and intelligent systems, including network performance analysis, automated manufacturing, intelligent monitoring, disaster prevention, etc.
Vision of future smart factories, service, marketing, and their integration, incorporating current existing technologies.
Multimedia applications, content management, process management and knowledge management for various industries, services, and engineering education: including multimedia processing, multimedia retrieval, multimedia indexing, image sensing, image processing, image coding, image recognition, etc.
Pattern recognition methods for various industries and services: including statistical theory, clustering, similarity measures, unsupervised learning, supervised learning, etc.
Survey, review and essay of current industrial networks researches and intelligent systems development.

Guest editor: Robbi Rahim (Sekolah Tinggi Ilmu Manajemen Sukma, Indonesia)

Call for Papers: Special issue on: Smart Communications for Autonomous Systems in Network Technologies (Manuscript submission deadline: 30 June 2019; Notification of acceptance: 5 July 2019; Submission of final revised paper: 14 July 2019; Publication of special issue (tentative): 30 July 2019)

Guest editor: Tri NGUYEN-HUU (IRD, France)

Guest editor: Doanh NGUYEN-NGOC (TLU, Vietnam)

Call for Papers: Special issue on: Enabling Technologies for Networks-on-Chip (Submission Deadline: December 31, 2018)

Call for Papers: Special issue on: Modelling for Water Resources Management (Submission Deadline: January 15, 2020)

Ala Al-Fuqaha (Western Michigan University, USA)
Al-Sakib Khan Pathan (Southeast University, Bangladesh)
Ammar Rayes (Cisco Systems, USA)
Antonino Masaracchia (IIT-CNR, Italy)
Athanasios Maglaras (Dr, Prof . ofT.E.I. of Larissa)
Ayse Kortun (Queen's University Belfast, UK)
Berk Canberk (Northeastern University, USA)
Ca V. Phan (Ho Chi Minh City University of Technology and Education, Vietnam)
Chau Yuen (Singapore University of Technology and Design, Singapore)
Chengfei Liu (Swinburne University of Technology, Australia)
Chinmoy Kundu (University of Texas at Dallas, USA)
Christer Carlsson (Åbo Akademi University, Finland)
Chunsheng Zhu (University of British Columbia)
Constandinos Mavromoustakis (University of Nicosia, Cyprus)
Der-Jiunn Deng (National Changhua University of Education, Taiwan)
Dickson Chiu (The University of Hong Kong)
Doan Xuan Toan (Thu Dau Mot University, Vietnam)
Eleanna Kafeza (Athens University of Economics and Business, Greece)
Fu-ren Lin (National Tsing Hua University, Taiwan)
Gerhard Hancke (University of London, UK)
Guangjie Han (Hohai University, China)
Guojun Wang (Central South University, China)
Hacene Fouchal (University of Reims Champagne-Ardenne, France)
Haklae Kim (Samsung Electronics, Co. Ltd, South Korea)
Halil Yetgin (Bitlis Eren University, Turkey)
Hideyasu Sasaki (Ritsumeikan University, Kyoto, Japan)
Ho-fung Leung (Chinese University of Hong Kong, Hong Kong)
Honggang Wang (University of Massachusetts Dartmouth, USA)
Hua Hu (Hangzhou Dianzi University, China)
Huy T. Nguyen (Inje University, South Korea)
Ibrahim Kushchu (Mobile Government Consortium International, UK)
Irene Kafeza (Irene Law Office, Greece)
Isabelle Comyn-Wattiau (ESSEC Business School Paris, France)
Jaime Lloret- Mauri (Universitat Politècnica de València, Spain)
Javier M. Aguiar (Universidad de Valladolid, Valladolid, Spain)
Jesus Alonso-Zarate (Telecommunications Technology Center of Catalonia, Spain)
Jian Yang (Macquarie University, Australia)
Jiankun Hu (University of New South Wales, Australia)
Jianmin Jiang (Shenzhen University)
Jianwei Niu (Beihang University, China)
Jinlei Jiang (Tsinghua University, China)
Jinsong Wu (Bell Laboratory, China)
Joel Rodrigues (Inst. Telecomunicações, Univ. of Beira Interior, Portugal)
Juan Trujillo (University of Alicante, Spain)
Jucheng Yang (Tianjing University of Technology, China)
Junqing Zhang (Queen's University Belfast)
KUN WANG (Nanjing University of Posts and Telecommunications)
Kuo-Ming Chao (Leader – Distributed Systems and Modelling Research Group, UK)
Leandros A. Maglaras (De Montfort University, UK)
Lei Wang (Dalian University of Technology, China)
Liang Zhou (Nanjing University of Posts and Telecommunications, China)
Liangtian Wan (Electrical and Electrical Engineering, Nanyang Technological University,
Singapore)
Long D. Nguyen (Binh Duong University, Vietnam)
Lu Liu (University of Derby, UK)
Maggie M. Wang (The University of Hong Kong, Hong Kong)
Malcolm Egan (INSA Lyon)
Marijn Janssen (Delft University of Technology, The Netherlands)
Mohamamad Shojafar (University Sapienza of Rome, Italy)
Nicholas C Romano (Oklahoma State University, USA)
Noel Crespi (Institut Mines-Telecom, Telecom SudParis, France)
P. Radha Krishna (SET Labs, Infosys Technologies Limited, India)
Panlong Yang (PLA University of Science and Technology, China)
Pasi Tyrväinen (University of Jyväskylä, Finland)
Patrick C.K. Hung (University of Ontario Institute of Technology, Canada)
Periklis Chatzimisios (Alexander TEI of Thessaloniki, Greece)
Phong Nam Nguyen (Memorial University of Newfoundland, Canada)
Pierluigi Siano (Università degli Studi di Salerno, Italy)
Pirkko Walden (Abo Akademi University, Finland)
Raymond Y.K Lau (City University of Hong Kong, Hong Kong)
Richard Yu (Carleton University, Canada)
Rong Yu (Guangdong University of Technology, China)
Rose Hu (Utah State University, USA)
Sammy Chan (City University of HongKong, HK)
Sghaier Guizani (Alfaisal University, Saudi Arabia)
Shing-Chi Cheung (Hong Kong University of Science and Technology, Hong Kong)
Shui Yu (Deakin University, Australia)
Song Guo (University of Aizu, Japan)
Stephen J. H. Yang (National Central University, Taiwan)
Syed Hassan Ahmed (University of Central Florida, USA)
Tiago Cruz (University of Coimbra)
Tran Trung (PTIT, VietNam)
Trung Q. Duong (Blekinge Institute of Technology, Sweden)
Umar Zakir Abdul Hamid (Sensible 4 Oy, Helsinki)
Victor Leung (The University of British Columbia)
Vo Nguyen Son Dr. (Duy Tan University, Vietnam)
Wai-Wa Fung (Information Security and Forensics Society, Hong Kong)
Walid Gaaloul (Institut National des Télécommunications, France)
Wendy W. Y. Hui (University of Nottingham at Ningbo, China)
William Cheung (Hong Kong Baptist University, Hong Kong)
Xianfu Chen (VTT Technical Research Centre of Finland, Finland)
Xiang Gui (Massey University, New Zealand)
Xiaoling Wu (Chinese Academy of Sciences, China)
Xu Wang (Heriot Watt University, UK)
Yan Bai (University of Washington Tacoma, USA)
Yan Zhang (Simula Research Laboratory and University of Oslo, Norway)
Yi Zhuang (Zhejian Gongshang University, China)
Yong Li (Tsinghua University, China)
Yong Tang (South China Normal University, China)
Yuanfang Chen (Institute Mines-Telecom, University Pierre and Marie Curie )
Yuexing Peng (Beijing University of Posts and Telecommunications, China)
Yuqing Sun (Shangdong University, China)
Zakaria Maamar (Zayed University, UAE)
Zhangbing Zhou (China University of Geosciences, China)
ZhiMing Cai (Macau University of Science and Technology, Macau)
Zhiqiang Huo (GDUPT,UoL)
Mithun Mukherjee (GUDP)
Zichao Sheng (ZTE, China)

Trung Q. Duong

Dr. Trung Q. Duong is a Reader at Queen’s University Belfast, U.K. His current research interests include IoT (applied to disaster management, agriculture, hydrometeorological hazards, smart grid) 5G networks (small-cell networks, ultra-dense networks, HetNets, physical layer security, massive MIMO, cell-free massive MIMO, caching, energy-harvesting), and nanoscale, molecular communications networks. He has authored or co-authored over 110 IEEE Journals. He is currently serving as an Editor for IEEE Trans on Wireless Communications, IEEE Trans on Communications, IET Communications and a Lead Senior Editor for IEEE Communications Letters. He has served as the Guest Editor for more than 22 times on ISI-index journals including the IEEE Journal in Selected Areas on Communications 2015, IET Communications 2014, 2016, 2017, IEEE Communications Magazine 2014 and 2015, IEEE Access 2016, 2017, 2018, IEEE Wireless Communications Magazine 2015, EURASIP JWCN, EURASIP JASP. He was an Editor of Electronics Letters, Emerging Telecommunications Technologies, IEEE Communications Letters. He has served as a chair for more than 20 IEEE conferences/workshops including the IEEE GLOBECOM 2016 Symposium Chair. Dr. Duong was awarded the Best Paper Award at the IEEE Vehicular Technology Conference (VTC-Spring) in 2013, the IEEE International Conference on Communications (ICC) 2014, the IEEE Global Communications Conference (GLOBECOM) 2016, IEEE Digital Signal Processing (DSP) 2017. He is a recipient of prestigious Royal Academy of Engineering Research Fellowship from 2016 to 2021 and has won the prestigious Newton Prize 2017.

Le Nguyen Bao

Dr. Le Nguyen Bao is the Vice Provost and Head of the Technology & Science division as well as the R&D Center of Duy Tan University (DTU), which is widely considered to be the No. 1 private university in Vietnam. He earned his doctorate degree in Computer Science also from DTU, specializing in the field of facial recognition. His research interest is in network security policy, data warehousing, and 3D animation design. He helped initiate the CDIO (Conceive-Design-Implement-Operate) framework for engineering education first time in Central Vietnam back in 2010. His efforts ultimately led to the championship of Vietnamese students at the CDIO Academy, organized at Harvard and MIT in 2013. In 2017, he and his team again won the prestigious award for Vietnamese No. 1 Talents in Information Technology (IT) & Entrepreneurship for a 3D human-anatomy simulation. Under his leadership, Duy Tan University is aiming to become the top university for IT in Vietnam.

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A Secure Authentication Scheme based on Brownian Motion in hierarchy Wireless Sensor Networks
Appears in:
inis 18: e1

Authors:
Minh Hoang Trong, Ngoc Le Van, Nguyen Lang Tuan, Hai Hoang Dang

Published:
24th Sep 2019

Abstract:
In the last few years, the Internet of Things (IoT) has experienced exponential advancements. In IoT infrastructures, Wireless Sensor Network (WSN) has been considered as one of the crucial technologies to support a lot of amazing services. To fulfill new requirements of deployed network environm…In the last few years, the Internet of Things (IoT) has experienced exponential advancements. In IoT
infrastructures, Wireless Sensor Network (WSN) has been considered as one of the crucial technologies to
support a lot of amazing services. To fulfill new requirements of deployed network environments, the security issue in wireless sensor networks has to be met new challenges such as secured and lightweight requirements simultaneously. Hence, in this paper, an authentication scheme based on the watermarking technique is proposed to secure the sensory data in hierarchy wireless sensor networks. Especially, natural movement characteristics of a sensor node are exploited to provide a conveniently watermarked data, that can be used to validate and detect data integrity attacks in familiar methods. The proposed authentication scheme is evaluated by numerical results and theoretically analyzed to prove a proposal efficiency.
more »

Network Coding Design for Reliable Satellite Communication Services
Appears in:
inis 19(20): e5

Author:
Do Duy Tan

Published:
30th Aug 2019

Abstract:
In this paper, we present a possible way forward to the design of network coding (NC) as a virtual network functionality offered to the communication service designer. Specifically, we propose the integration of NC and Network Function Virtualization (NFV) architectural designs. The integration is…In this paper, we present a possible way forward to the design of network coding (NC) as a virtual network
functionality offered to the communication service designer. Specifically, we propose the integration of NC and Network Function Virtualization (NFV) architectural designs. The integration is realized as a toolbox of NC
design domains that the service designer can use for flow engineering. Our proposed design framework combines network protocol-driven design and system modular-driven design approaches. In particular, the adaptive choice of the network codes and its use for a specific service can be optimized depending on the ultimate service intent and underlying network.
We work out a complete use case where we design geo-network coding, an application of NC for which coding rate is optimized using databases of geo-location information towards an efficient use of network resources. Our numerical results highlight the benefits of both the proposed NC design framework and the specific application.
more »
Enhancing Physical Layer Security for Cooperative Non-Orthogonal Multiple Access Networks with Artificial Noise
Appears in:
inis 19(20): e4

Authors:
Van-Long Nguyen, Dac-Binh Ha, Duc-Dung Tran, Yoonill Lee

Published:
30th Aug 2019

Abstract:
This paper does the study on the performance of the physical layer secrecy of nonorthogonal multiple access (NOMA) in downlink cooperative. The given system includes one source, multiple legitimate user pairs in the form of an eavesdropper. By applying the decode-and-forward (DF) scheme, a good u…This paper does the study on the performance of the physical layer secrecy of nonorthogonal multiple access
(NOMA) in downlink cooperative. The given system includes one source, multiple legitimate user pairs in
the form of an eavesdropper. By applying the decode-and-forward (DF) scheme, a good user will take the
information from the source to send it to the bad user in every pair, we assume that the eavesdropper will
spend effort to decode the message from the bad user. To enhance the secrecy performance of given system, the artificial noise cooperative transmission scheme named ANCOTRAS is suggested. To assess the performance of the suggested scheme, we obtained the lower bound and exact closed-form expressions of secrecy outage probability by implementing statistical characteristics of signal-to-noise ratio (SNR) and signalto-interferenceplus-noise ratio (SINR). Furthermore, the secrecy performance of given system is studied basing on key parameters (including the power allocation ratio), average transmit power and amount of user pair for verifying the suggested scheme. At the end, the accuracy of final analytical outcome is reassured by using the Monte-Carlo simulation results.
more »
Node Credit Based Efficient Flooding (NCBEF) Method for Mobile Ad-hoc Networks
Appears in:
inis 19(20): e3

Authors:
Hemant Kumar Gianey, Tanupriya Choudhury, Ahmed A. Elngar

Published:
30th Aug 2019

Abstract:
Effective routing is one important research issue for mobile ad-hoc network where gadgets have confined resources. Due to non-foreseeing network topology, frequent link failure occurred that drives route break, partitions and high routing overhead issue. These issues result superfluous resource was…Effective routing is one important research issue for mobile ad-hoc network where gadgets have confined resources. Due to non-foreseeing network topology, frequent link failure occurred that drives route break, partitions and high routing overhead issue. These issues result superfluous resource wastage and diminish network life. Existing reactive routing algorithm helps nodes to discover route via broadcast of route request to all these reachable nodes. Receiving node of route request further forward to all its neighbours’ nodes that lead flooding. Here broadcasting of
route request results several issues such as wastage of resources, congestions, redundancy of route request and broadcast storm problem. Though to maximize resource utilization and minimize broadcast storm problem, efficient broadcast method in routing algorithm is required. Numerous contributions have done towards efficient broadcasting which concentrate different aspects. In this paper, NCBEF method is presented that motive was to do efficient flooding. NCBEF method enables node to broadcast route request to some neighbours instead of all. To do this, NCBEF method, determine high creditable neighbours during hello signal transmission. Few hypotheses were
formulated to evaluate and test NCBEF method. Hypotheses were evaluated by simulation of NCBEF method in network simulator software on the basis of certain criteria.
more »
On the optimal user grouping in NOMA system technology
Appears in:
inis 19(20): e2

Authors:
Antonino Masaracchia, Dac-Binh Ha, Ngoc-Phuc Le

Published:
7th Aug 2019

Abstract:
This paper provides a state-of-art analysis of the most relevant studies on optimal user-aggregation strategies for non-orthogonal multiple access (NOMA) technology. The main ideas behind are i) to highlight how, in addition to the adoption of an optimal power allocation scheme, an optimal user-ag…This paper provides a state-of-art analysis of the most relevant studies on optimal user-aggregation strategies
for non-orthogonal multiple access (NOMA) technology. The main ideas behind are i) to highlight how, in addition to the adoption of an optimal power allocation scheme, an optimal user-aggregation strategy represents an important key factor for improving NOMA system performance, and ii) to provide an exhaustive
survey of the most relevant studies which can serve as useful starting point for the definition of new channel
state-aware user-aggregation strategies for NOMA systems which, at the time of writing, represents a research field that still remains to be investigated more in depth. A detailed and complete analysis, which permits to point out the need to guarantee a certain relationship between users’ channel gain, is provided for each cited work.
more »
A data-driven approach for Network Intrusion Detection and Monitoring based on Kernel Null Space
Appears in:
inis 19(20): e1

Authors:
Truong Thu Huong, Ta Phuong Bac, Quoc Thong Nguyen, Huu Du Nguyen, Kim Phuc Tran

Published:
7th Aug 2019

Abstract:
In this study, we propose a new approach to determine intrusions of network in real-time based on statistical process control technique and kernel null space method. The training samples in a class are mapped to a single point using the Kernel Null Foley-Sammon Transform. The Novelty Score are com…In this study, we propose a new approach to determine intrusions of network in real-time based on statistical
process control technique and kernel null space method. The training samples in a class are mapped to a single point using the Kernel Null Foley-Sammon Transform. The Novelty Score are computed from testing samples in order to determine the threshold for the real-time detection of anomaly. The efficiency of the
proposed method is illustrated over the KDD99 data set. The experimental results show that our new method outperforms the OCSVM and the original Kernel Null Space method by 1.53% and 3.86% respectively in terms of accuracy.
more »
Stochastic-Based Power Consumption Analysis for Data Transmission in Wireless Sensor Networks
Appears in:
inis 19(19): e5

Authors:
Minh T. Nguyen, Hien M. Nguyen, Antonino Masaracchia, Cuong V. Nguyen

Published:
13th Jun 2019

Abstract:
Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption…Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since all
sensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based on
statistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions.
more »
Outage Performance of Cooperative Cognitive Radio Networks under Joint Constraints of Co-Channel Interference, Intercept Probability and Hardware Imperfection
Appears in:
inis 19(19): e4

Authors:
Pham Thi Dan Ngoc, Tran Trung Duy, Ho Van Khuong

Published:
13th Jun 2019

Abstract:
This paper evaluates outage probability (OP) of a cooperative underlay cognitive radio network in the presence of a passive secondary eavesdropper under joint impacts of limited interference from a primary network and hardware impairments. With intercept probability constraint required for the eave…This paper evaluates outage probability (OP) of a cooperative underlay cognitive radio network in the presence of a passive secondary eavesdropper under joint impacts of limited interference from a primary network and hardware impairments. With intercept probability constraint required for the eavesdropper and interference constraint given by a primary receiver, we derive closed-form expressions of transmit power for the secondary transmitters, including source and relays, only relying on the knowledge of statistical channel state information (CSI). Then, a relay selection method is used in the cooperative phase to enhance the OP performance of the considered protocol. For performance evaluation, we derive an exact closed-form expression of OP over Rayleigh fading channel. Finally, we perform Monte Carlo simulations to verify the derived formulas.
more »
Extreme Value Distributions in Hydrological Analysis in the Mekong Delta: A Case Study in Ca Mau and An Giang Provinces, Vietnam
Appears in:
inis 19(19): e3

Authors:
Dang Kien Cuong, Duong Ton Dam, Duong Ton Thai Duong, Nguyen Kim Loi, Nguyen-Son Vo, Ayse Kortun

Published:
13th Jun 2019

Abstract:
Climate change poses a critical risk to the sustainable development of many regions in Vietnam, especially in the Mekong River. In this paper, we show the specific extreme value distributions of rainfall, flow, and crest of salinity based on the hydrological data from 1975 to 2017 in An Giang and…Climate change poses a critical risk to the sustainable development of many regions in Vietnam, especially in
the Mekong River. In this paper, we show the specific extreme value distributions of rainfall, flow, and crest of
salinity based on the hydrological data from 1975 to 2017 in An Giang and Ca Mau provinces in the Mekong
Delta. We also derive a theoretical model and validate its accuracy compared to the empirical data over the
years. The results demonstrate that the extremely high flows increase in both magnitude and frequency, while
the extremely low ones are projected to occur less often under the climate change. The results can further help the local governments reduce the risk of lack water in dry season, control the salinization, and avoid the threat of flooding in the downstream of the Mekong Delta.
more »
Centrality-Based Paper Citation Recommender System
Appears in:
inis 19(19): e2

Authors:
Abdul Samad, Muhammad Arshad Islam, Muhammad Azhar Iqbal, Muhammad Aleem

Published:
13th Jun 2019

Abstract:
Researchers cite papers in order to connect the new research ideas with previous research. For the purpose of finding suitable papers to cite, researchers spend a considerable amount of time and effort. To help researchers in finding relevant/important papers, we evaluated textual and topological s…Researchers cite papers in order to connect the new research ideas with previous research. For the purpose of finding suitable papers to cite, researchers spend a considerable amount of time and effort. To help researchers in finding relevant/important papers, we evaluated textual and topological similarity measures for citation recommendations. This work analyzes textual and topological similarity measures (i.e., Jaccard and Cosine) to evaluate which one performs well in finding similar papers? To find the importance of papers, we compute centrality measures (i.e., Betweeness, Closeness, Degree and PageRank). After evaluation, it is found that topological-based similarity via Cosine achieved 85.2% and using Jaccard obtained 61.9% whereas textualbased similarity via Cosine on abstract obtained 68.9% and using Cosine on title achieved 37.4% citation links. Likewise, textual-based similarity via Jaccard on abstract obtained 35.4% and using Jaccard on title achieved 28.3% citation links.
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An energy-efficient framework for multimedia data routing in Internet of Things (IoTs)
Appears in:
inis 19(19): e1

Author:
Minh T. Nguyen

Published:
13th Jun 2019

Abstract:
The Internet of Things (IoTs) is an integrated network including physical devices, mobile robots, cameras, sensors, vehicles, etc. There are many items embedded with electronics, software to support a lot of applications in different fields. These internet-based networks have many different types…The Internet of Things (IoTs) is an integrated network including physical devices, mobile robots, cameras,
sensors, vehicles, etc. There are many items embedded with electronics, software to support a lot of
applications in different fields. These internet-based networks have many different types of data to be
transmitted and processed. Either reducing data transmission or lowering energy consumption for such
networks is critically considered. Compressed sensing (CS) technique is known as a novel idea to compress
and to reconstruct correlated data well with a small certain number of CS measurements. This paper proposes
an energy-efficient scheme for data routing for IoTs utilizing CS techniques. The ideas show how to apply CS
into IoT applications with different kinds of data like images, video streaming and simply as sensor readings.
After the CS sampling process, the IoT system only needs to transmit a certain number of CS measurements
instead of sending all collected sensing data. At the receiver side, the system can reconstruct perfectly the
original data based on the measurements. Different kinds of IoT data is analyzed to be used with CS. Data
routing methods are suggested for suitable cases. Simulation results working on different types of multimedia
data are provided to clarify the methods. This work also provides an additional way to protect the sensing
data for security purposes in the networks.
more »

Smart Grid Attacks and Countermeasures
Appears in:
inis 15(2): e4

Authors:
Eric McCary, Yang Xiao

Downloads:
1313

Abstract:
The term “Smart Grid” has been coined and used for several years to describe the efforts of the current power grid modernization effort. This effort plans to introduce self-healing, energy efficiency, reliability, and security using two-way digital communications and control technology, along with …The term “Smart Grid” has been coined and used for several years to describe the efforts of the current power grid modernization effort. This effort plans to introduce self-healing, energy efficiency, reliability, and security using two-way digital communications and control technology, along with a host of other valuable attributes. As a bi-product of this modernization and newly gained systems interoperability, new communications and management interfaces are produced in both the cyber realm and physical domains. The increase of the public physical presence and cyber footprint opens up avenues for compromise to hackers and individuals with malicious intent. This survey paper will categorize and summarize vulnerabilities in the framework of the current power grid and the software and hardware which is currently being used to upgrade the grid. The paper will also detail known countermeasures which can be used to mitigate or eliminate attacks which exploit such vulnerabilities.
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A Survey of System Level Power Management Schemes in the Dark-Silicon Era for Many-Core Architectures
Appears in:
inis 18(15): e5

Authors:
Emmannuel Ofori-Attah, Xiaohang Wang, Michael Opoku Agyeman

Downloads:
657

Abstract:
Power consumption in Complementary Metal Oxide Semiconductor (CMOS) technology has escalated to a point that only a fractional part of many-core chips can be powered-on at a time. Fortunately, this fraction can be increased at the expense of performance through the dark-silicon solution. However, w…Power consumption in Complementary Metal Oxide Semiconductor (CMOS) technology has escalated to a point that only a fractional part of many-core chips can be powered-on at a time. Fortunately, this fraction can be increased at the expense of performance through the dark-silicon solution. However, with many-core integration set to be heading towards its thousands, power consumption and temperature increases per time, meaning the number of active nodes must be reduced drastically. Therefore, optimized techniques are demanded for continuous advancement in technology. Existing eﬀorts try to overcome this challenge by activating nodes from diﬀerent parts of the chip at the expense of communication latency. Other eﬀorts on the other hand employ run-time power management techniques to manage the power performance of the cores trading-oﬀ performance for power. We found out that, for a signiﬁcant amount of power to saved and high temperature to be avoided, focus should be on reducing the power consumption of all the on-chip components. Especially, the memory hierarchy and the interconnect. Power consumption can be minimized by, reducing the size of high leakage power dissipating elements, turning-oﬀ idle resources and integrating power saving materials.
more »
Improving ns-3 Emulation Support in Real-World Networking Scenarios
Appears in:
inis 16(9): e5

Authors:
Helder Fontes, Rui Campos, Manuel Ricardo

Downloads:
645

Abstract:
A common problem in networking research and development is the duplicate effort of writing simulation and implementation code. This duplication can be avoided through the use of fast-prototyping methodologies, which enable reusing simulation code in real prototyping and in production environments. …A common problem in networking research and development is the duplicate effort of writing simulation and implementation code. This duplication can be avoided through the use of fast-prototyping methodologies, which enable reusing simulation code in real prototyping and in production environments. Although this functionality is already available by using ns-3 emulation, there are still limitations regarding the support of real network interfaces and easy configuration of the network settings, such as IP and MAC addresses.
In this paper we propose an improved version of the ns-3 emulation component by introducing new functionalities that address these limitations. The new functionalities include the support of new types of real network interfaces and the easier integration of emulation nodes with existing networks by means of a new auto-configuration mechanism for ns-3 nodes. Experimental results obtained in a laboratorial testbed and in a real vehicular network testbed demonstrate the new functionalities proper operation, and their backwards compatibility with previously coded ns-3 scenarios.
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Attribution of Cyber Attacks on Industrial Control Systems
Appears in:
inis 16(7): e3

Authors:
Allan Cook, Andrew Nicholson, Helge Janicke, Leandros Maglaras, Richard Smith

Downloads:
615

Abstract:
In order to deter or prosecute for cyber attacks on industrial control systems it is necessary to assign attribution to the attacker and define the type of attack so that international law enforcement agencies or national governments can decide on appropriate recourse. In this paper we identify the…In order to deter or prosecute for cyber attacks on industrial control systems it is necessary to assign attribution to the attacker and define the type of attack so that international law enforcement agencies or national governments can decide on appropriate recourse. In this paper we identify the current state of the art of attribution in industrial control systems. We highlight the critical differences between attribution in enterprise networks and attribution in industrial networks. In doing so we provide a roadmap for future research.
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Design of Cloud-Connected IoT System for Smart Buildings on Energy Management (Invited paper)
Appears in:
inis 16(6): e3

Authors:
Wayes Tushar, Chau Yuen, Kai Li, Kristin L. Wood, Zhang Wei, Liu Xiang

Downloads:
612

Abstract:
Building energy management (BEM) system can provide cost-effective energy management solutions for smart buildings. However, the success of BEM is contingent on identifying large energy consuming devices, monitoring energy usage, optimal scheduling of flexible appliances, and distinguishing and con…Building energy management (BEM) system can provide cost-effective energy management solutions for smart buildings. However, the success of BEM is contingent on identifying large energy consuming devices, monitoring energy usage, optimal scheduling of flexible appliances, and distinguishing and controlling energy wastage. To this end, this paper discusses the design of Internet of Things (IoT) for a flexible BEM with the backend analytic that performs analysis on energy usage pattern and the wastage. We present the experimental results of real-time monitoring of consumers’ energy usage in a commercial space to identify the electricity wastage. The experiment is conducted at an office testbed using a comprehensive wireless sensor network. Extensive analysis is done to identify the energy wastage pattern of users for reducing the electricity cost. It is demonstrated that it is possible to reduce significant energy wastage when an office building is equipped with the proposed IoT system.
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An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication
Appears in:
inis 18(17): e5

Authors:
Long D. Nguyen, Ayse Kortun, Trung Q. Duong

Downloads:
577

Abstract:
For disaster communications, it is very challenging for the contemporary wireless technology and infrastructure to meet the demands for connectivity. Modern wireless networks should be developed to satisfy the increasing demand of quality-of-service (QoS) in mission-critical communications for disa…For disaster communications, it is very challenging for the contemporary wireless technology and infrastructure to meet the demands for connectivity. Modern wireless networks should be developed to satisfy the increasing demand of quality-of-service (QoS) in mission-critical communications for disaster management which are currently faced with the challenges of limited spectrum, expensive resources, reliable and green communication. There is a tremendous need for optimisation techniques in the study and design of the key functionalities of wireless systems. Until now, almost current optimisation scenarios are often carried out on large timescales (e.g., minutes or hours) without strict time constraints for solving the problems. With the improvement of computational speed, eﬃcient algorithms and advanced coding approaches, a framwork of real-time optimisation programming, which plays a major role in the trend of modern engineering such as mission-critical communications, is introduced for the first time in this paper in the context of natural disaster. In particular, we propose an introduction of embedded convex optimisation programming for unmanned ariel vehicles (UAVs) communications in disaster networks with the strict supervision of executive time in real-time scenarios.
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Hardware-software co-simulation for medical X-ray control units
Appears in:
inis 16(8): e5

Authors:
Bruno Kleinert, Gholam Reza Rahimi, Marc Reichenbach, Dietmar Fey

Downloads:
523

Abstract:
In this paper we present our solution to master the complex- ity of product adaption cycles of a medical X-ray control unit. We present the real hardware and software platform and our mapping of it to a virtual X-ray control unit, im- plemented as our hardware-software co-simulation. To re- du…In this paper we present our solution to master the complex-
ity of product adaption cycles of a medical X-ray control
unit. We present the real hardware and software platform
and our mapping of it to a virtual X-ray control unit, im-
plemented as our hardware-software co-simulation. To re-
duce complexity for hardware developers, we developed our
own XML-based abstract system description language which
is mapped onto instantiations of parameterizable SystemC
template modules. We verified the correctness of our virtual
X-ray control unit by co-simulating unmodified software to
hardware components, which we implemented in our system
description language from the specification of the real sys-
tem. Due to reduced complexity of our virtual X-ray control
unit, it can be used as a time and cost saving test platform
for future hardware and software adaption cycles.
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Innovative Application of 5G and Blockchain Technology in Industry 4.0
Appears in:
inis 19(18): e4

Authors:
Ivan Jovović, Siniša Husnjak, Ivan Forenbacher, Sven Maček

Downloads:
518

Abstract:
The Industry 4.0 is experiencing significant challenges, including the need for an increased amount of data transmission with improved security, transparency and credibility. The 5th Generation Mobile Network (5G) and Blockchain are innovative emerging technologies that can respond to these needs. …The Industry 4.0 is experiencing significant challenges, including the need for an increased amount of data transmission with improved security, transparency and credibility. The 5th Generation Mobile Network (5G) and Blockchain are innovative emerging technologies that can respond to these needs. 5G will enable extremely large channel capacities and reduce data latency, while Blockchain's innovative data-sharing mode of operation delivers an improved high level of security, transparency, and credibility of stored data. Therefore, this paper presents a general survey of the potential application of 5G network and Blockchain technology in Industry 4.0. The results may be used by first-movers firms for gaining technological leadership on the market.
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A Novel Intrusion Detection Mechanism for SCADA systems which Automatically Adapts to Network Topology Changes
Appears in:
inis 17(10): e4

Authors:
Barnaby Stewart, Luis Rosa, Leandros A. Maglaras, Tiago J. Cruz, Mohamed Amine Ferrag, Paulo Simoes, Helge Janicke

Downloads:
507

Abstract:
Industrial Control Systems (ICS) are getting more vulnerable as they become increasingly interconnected with other systems. Industrial Internet of Things(IIoT) will bring new opportunities to business and society, along with new threats and security risks. One major change that ICS will face will b…Industrial Control Systems (ICS) are getting more vulnerable as they become increasingly interconnected with other systems. Industrial Internet of Things(IIoT) will bring new opportunities to business and society, along with new threats and security risks. One major change that ICS will face will be that of the dynamic network topology. Changes in the network architecture will aﬀect the performance of the ICS along with the eﬃciency of the security mechanisms that are deployed. The current article investigates how changes in the network architecture of a supervisory control and data acquisition (SCADA) system aﬀect the performance of an Intrusion Detection System IDS that is based on the One class Support Vector Machine (OCSVM). Also the article proposes an adaptive mechanism that can cope with such changes and can work in real time situations. The performance of the proposed adaptive IDS is tested using traces from a Hybrid ICS testbed with a dynamic topology.
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An Investigation of Performance Analysis of Anomaly Detection Techniques for Big Data in SCADA Systems
Appears in:
inis 15(3): e5

Authors:
Mohiuddin Ahmed, Adnan Anwar, Abdun Naser Mahmood, Zubair Shah, Michael J. Maher

Downloads:
507

Abstract:
Anomaly detection is an important aspect of data mining, where the main objective is to identify anomalous or unusual data from a given dataset. However, there is no formal categorization of application-specific anomaly detection techniques for big data and this ignites a confusion for the data m…Anomaly detection is an important aspect of data mining, where the main objective is to identify anomalous
or unusual data from a given dataset. However, there is no formal categorization of application-specific
anomaly detection techniques for big data and this ignites a confusion for the data miners. In this paper, we
categorise anomaly detection techniques based on nearest neighbours, clustering and statistical approaches
and investigate the performance analysis of these techniques in critical infrastructure applications such as
SCADA systems. Extensive experimental analysis is conducted to compare representative algorithms from
each of the categories using seven benchmark datasets (both real and simulated) in SCADA systems. The
effectiveness of the representative algorithms is measured through a number of metrics. We highlighted the
set of algorithms that are the best performing for SCADA systems.
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Publisher: EAI
ISSN: 2410-0218
Number of Volumes: 6

Last Published: 30th Aug 2019