Intrusion detection system for CubeSats: a survey

被引:2
|
作者
Driouch, Otman [1 ,2 ]
Bah, Slimane [1 ]
Guennoun, Zouhair [1 ]
机构
[1] Mohammed 5 Univ Rabat, Smart Commun Res Team, Mohammadia Sch Engineers, Univ Ctr Res Space Technol, Rabat, Morocco
[2] Royal Ctr Space Res & Studies, Rabat, Morocco
关键词
Space mission; CubeSat; cybersecurity; intrusion detection; cyberthreats;
D O I
10.1109/IWCMC58020.2023.10182729
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The impressive growth in the number of CubeSats projects carried out over the past decade gives rise to a new segment in the space industry. Whether academic, military or commercial, CubeSats missions provide a wide range of low-cost space applications. This is due on the one hand to the evolution in the launch offer and on the other hand to the use of Components-Of-The-Shelf (COTS). Despite their advantages, these components are associated with many cybersecurity risks, making space segments more accessible targets for cyberattacks and intrusions. This paper provides a brief overview of intrusion detection approaches corresponding to cyber threats that may target CubeSats. We classify Intrusion Detection System (IDS) components according to a number of factors, such as data sources, architectures, detection mechanisms and modes, and intrusion forms. Then, we present challenges and potential areas for future research, with the goal of designing a CubeSat Intrusion Detection System that efficiently balances security performance and space missions' constraints.
引用
收藏
页码:596 / 601
页数:6
相关论文
共 50 条
  • [41] A survey of intrusion detection and prevention systems
    Patel A.
    Qassim Q.
    Wills C.
    Information Management and Computer Security, 2010, 18 (04): : 277 - 290
  • [42] A Survey of Intrusion Detection and Prevention Systems
    Erney, Tristan
    Chowdhury, Md Minhaz
    2022 IEEE WORLD AI IOT CONGRESS (AIIOT), 2022, : 578 - 584
  • [43] A Survey on Intrusion Detection Techniques in MANET
    20163702795437
    (1) Department of Computer Science and Engineering, University Institute of Technology, Bhopal, India, 1600, (Institute of Electrical and Electronics Engineers Inc., United States):
  • [44] Survey of intrusion detection technology research
    Zhang, Ran
    Qian, De-Pei
    Zhang, Wen-Jie
    Liu, Yi
    Luan, Zhong-Zhi
    Xiaoxing Weixing Jisuanji Xitong/Mini-Micro Systems, 2003, 24 (07):
  • [45] Survey of federated learning in intrusion detection
    Zhang, Hao
    Ye, Junwei
    Huang, Wei
    Liu, Ximeng
    Gu, Jason
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2025, 195
  • [46] A Survey of Intrusion Detection Algorithm in VANET
    Boughanja, Manale
    Mazri, Tomader
    3RD INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEM & SECURITY (NISS'20), 2020,
  • [47] A Survey on Intrusion Detection Techniques in MANET
    Soni, Mohit
    Ahirwar, Manish
    Agrawal, Shikha
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 1027 - 1032
  • [48] Intrusion-tolerant intrusion detection system
    Yi, MK
    Hwang, CS
    INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS, 2004, 3073 : 476 - 483
  • [49] NanoSats/CubeSats ADCS Survey
    Xia, Xiwang
    Sun, Guowen
    Zhang, Keke
    Wu, Shufan
    Wang, Tian
    Xia, Lei
    Liu, Shanwu
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5151 - 5158
  • [50] A Comprehensive Survey on Various Machine Learning Methods used for Intrusion Detection System
    Gupta, Akshay Ramesh bhai
    Agrawal, Jitendra
    2020 IEEE 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2020), 2020, : 282 - 289