About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Digital Forensics and Cyber Crime. 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part II

Research Article

Detection of Targeted Attacks Using Medium-Interaction Honeypot for Unmanned Aerial Vehicle

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-56583-0_11,
        author={Abdul Majid Jamil and Hassan Jalil Hadi and Sifan Li and Yue Cao and Naveed Ahmed and Faisal Bashir Hussain and Chakkaphong Suthaputchakun and Xinyuan Wang},
        title={Detection of Targeted Attacks Using Medium-Interaction Honeypot for Unmanned Aerial Vehicle},
        proceedings={Digital Forensics and Cyber Crime. 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part II},
        proceedings_a={ICDF2C PART 2},
        year={2024},
        month={4},
        keywords={Unmanned Aerial Vehicle Medium Interaction Honeypot Intrusion Detection System},
        doi={10.1007/978-3-031-56583-0_11}
    }
    
  • Abdul Majid Jamil
    Hassan Jalil Hadi
    Sifan Li
    Yue Cao
    Naveed Ahmed
    Faisal Bashir Hussain
    Chakkaphong Suthaputchakun
    Xinyuan Wang
    Year: 2024
    Detection of Targeted Attacks Using Medium-Interaction Honeypot for Unmanned Aerial Vehicle
    ICDF2C PART 2
    Springer
    DOI: 10.1007/978-3-031-56583-0_11
Abdul Majid Jamil1,*, Hassan Jalil Hadi1, Sifan Li1, Yue Cao1, Naveed Ahmed, Faisal Bashir Hussain, Chakkaphong Suthaputchakun, Xinyuan Wang
  • 1: School of Cyber Science and Engineering
*Contact email: majidjamil@whu.edu.cn

Abstract

Over the last two decades, there has been significant growth in the drone industry with the emergence of Unmanned Aerial Vehicles (UAVs). Despite their affordability, the lack of security measures in commercial UAVs has led to numerous threats and vulnerabilities. In addition, software, and hardware complexity in UAVs also trigger privacy and security issues as well as cause critical challenges for government, industry and academia. Meanwhile, malicious activities have increased, including stealing confidential data from UAVs and hijacking UAVs. These attacks are not only illegitimate but also appear to be increasing in frequency and sophistication. In addition, the current defence mechanisms for counterattacks are not sustainable for two reasons: they either demand strict firmware updates for all of the system’s devices, or they demand the deployment of a variety of advanced hardware and software. This paper proposes a Medium Interaction Honeypot-Based Intrusion Detection System (MIHIDS) to protect UAVs. Our system assists in detecting active intruders in a specific range (radio frequency) and provides details of attacking technologies to exploit UAVs. Our system is a passive lightweight, signature-based MIHIDS that is simple to integrate into UAV without requiring changes in network configuration or replacement of current hardware or software. The performance assessment demonstrates that in a typical network situation, our proposed framework can identify MitM, Brute-force, and DE-authentication attacks with a maximum detection time of 60 s. Under normal network scenarios, a minimum True Positive Rate (TPR) and performance efficiency is 93% to 95% during a short-distance detector.

Keywords
Unmanned Aerial Vehicle Medium Interaction Honeypot Intrusion Detection System
Published
2024-04-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-56583-0_11
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL