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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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
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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

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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.
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Extreme Value Distributions in Hydrological Analysis in the Mekong Delta: A Case Study in Ca Mau and An Giang Provinces, Vietnam
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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
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Centrality-Based Paper Citation Recommender System
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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,
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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
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Data network related to an object manufacturing inside of exerted Intelligent System
Appears in:
inis 19(18): e5

Authors:
Katarina Monkova, Peter Monka, Miorita Ungureanu, Nicolae Ungureanu, Oleksandr Gusak, Milan Edl

Published:
28th Mar 2019

Abstract:
Most of today’s information systems are not fully integrated. Companies, suppliers, and customers are rarely closely linked. Functions within a chain from the enterprise to the shop floor level are not fully integrated. Even in the engineering itself lacks complete integration - from products to pl…Most of today’s information systems are not fully integrated. Companies, suppliers, and customers are rarely closely linked. Functions within a chain from the enterprise to the shop floor level are not fully integrated. Even in the engineering itself lacks complete integration - from products to plants to automation. With Industry 4.0, companies, departments, functions, and capabilities will become much more cohesive, as cross-company, universal data-integration networks evolve and enable truly automated value chains. The article deals with specification of data flow related to an object manufacturing inside of information system for Industry 4.0. There are described basic characteristics of both data flow in this paper. An older one, which was used in the past, but it can be found also in current practice, as well as new approach to data flow using STEP NC (a machine tool control language). A reliable information system is one of the necessities to be the data flow in a company continuous. Due to this reason, authors designed software application based on concept Industry 4.0 that should help to improve productivity and labour efficiency in the company. Basic principles of object coding system that are included inside newly developed information system, are elaborated in the next part of the article.
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Innovative Application of 5G and Blockchain Technology in Industry 4.0
Appears in:
inis 19(18): e4

Authors:
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Published:
28th Mar 2019

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 Machine Vision Based Automatic Optical Inspection System for Detecting Defects of Rubber Keypads of Scanning Machine
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inis 19(18): e3

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28th Mar 2019

Abstract:
In order to detect defective rubber keypads, factories have to devote massive manpower and financial resources. In this paper, a vision-based system for the detection of a number of rubber keypad defects is designed and developed. To improve the lens distortion rectification, a novel, easy calibrat…In order to detect defective rubber keypads, factories have to devote massive manpower and financial resources. In this paper, a vision-based system for the detection of a number of rubber keypad defects is designed and developed. To improve the lens distortion rectification, a novel, easy calibration method using image local transformations defined by both sets of points that are detected in the distorted image and the undistorted ones without using any model for a wideangle and low- cost lens camera was proposed. The system detects the defects of 14 different types of rubber keypads quickly (~within about 1.8 seconds) and accurately even with a normal laptop and a low-price webcam.
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Security-Reliability Analysis of Multi-hop LEACH Protocol with Fountain Codes and Cooperative Jamming
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inis 19(18): e2

Authors:
Dang The Hung, Tran Trung Duy, Do Quoc Trinh

Published:
28th Mar 2019

Abstract:
In this paper, we investigate trade-off between security and reliability of Fountain codes (FCs) based low-energy adaptive clustering hierarchy (LEACH) networks, where the encoded packets are sent to the destination by using a cluster-based multi-hop transmission scheme with the assistance of clust…In this paper, we investigate trade-off between security and reliability of Fountain codes (FCs) based low-energy adaptive clustering hierarchy (LEACH) networks, where the encoded packets are sent to the destination by using a cluster-based multi-hop transmission scheme with the assistance of cluster heads (CHs). With presence of an eavesdropper, a cooperative harvest-to-jam technique is employed to reduce the quality of the eavesdropping channels. Particularly, each cluster randomly selects a cluster node that generates artificial noises on the eavesdropper. For performance evaluation, we derive exact closed-form expressions of outage probability (OP) and intercept probability (IP) over Rayleigh fading channels. We then perform Monte Carlo simulations to verify the theoretical results, and compare the performance of the proposed scheme with that of the conventional LEACH scheme without using the jamming technique.
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Exact Outage Analysis of Cognitive Energy Harvesting Relaying Networks under Physical Layer Security
Appears in:
inis 19(18): e1

Authors:
Sang Quang Nguyen, Huy T. Nguyen, Dong Doan Van, Won-Joo Hwang

Published:
28th Mar 2019

Abstract:
In this paper, we study the secure communication of cognitive energy harvesting relay networks when there exist multiple eaves droppers who can overhear the message of the second hop, and multiple primary users are present. The data transmission from the secondary source to the secondary destinatio…In this paper, we study the secure communication of cognitive energy harvesting relay networks when there exist multiple eaves droppers who can overhear the message of the second hop, and multiple primary users are present. The data transmission from the secondary source to the secondary destination is assisted by the best decode-and-forward relay, which is selected by means of three relay selection schemes. We study the system security performance by deriving the exact analytical secrecy outage probability. These analytical expressions are then veriﬁed by comparison to the results of Monte Carlo simulations. Herein we evaluate and discuss the outage performance of the three schemes under variations in important system parameters: the number and locations of relay nodes, primary user nodes, and eavesdroppers; the transmit power threshold; the energy harvesting eﬃciency coeﬃcient; the power splitting ratio; and the target secure rate.
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Smart Grid Attacks and Countermeasures
Appears in:
inis 15(2): e4

Authors:
Eric McCary, Yang Xiao

Downloads:
1111

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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Improving ns-3 Emulation Support in Real-World Networking Scenarios
Appears in:
inis 16(9): e5

Authors:
Helder Fontes, Rui Campos, Manuel Ricardo

Downloads:
571

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:
554

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:
545

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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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:
539

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.
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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:
462

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:
457

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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A Fast Discrete Event Simulation Model for Queueing Network Systems
Appears in:
inis 16(9): e4

Authors:
Jose Vazquez-Avila, Remberto Sandoval-Arechiga, Ramon Parra-Michel

Downloads:
429

Abstract:
Based on Lindley's recursive equations for G/G/1 systems, this paper proposes a Fast Discrete Event Simulation (FDES) model for queueing networks. Equations for multiplexer and de-multiplexer elements are presented, which allows to simulate not only tandem but queueing networks with an arbitrary to…Based on Lindley's recursive equations for G/G/1 systems, this paper proposes a Fast Discrete Event Simulation (FDES) model for queueing networks. Equations for multiplexer and de-multiplexer elements are presented, which allows to simulate not only tandem but queueing networks with an arbitrary topology. Time savings obtained with FDES could speed up the analyses of large-scale queueing network systems. Experimental results show that FDES modeling can be two orders of magnitude faster than their counterparts based on the event-scheduling for practical cases.
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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:
418

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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Welcome message from the Editor-in-Chief
Appears in:
inis 14(1): e1

Author:
Lei Shu

Downloads:
414

Abstract:
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Publisher: EAI
ISSN: 2410-0218
Number of Volumes: 6

Last Published: 13th Jun 2019