Characterization of multi-channel denial-of-service

被引:0
|
作者
Basu, Anindya [1 ]
Kar, Indrani [1 ]
机构
[1] Indian Inst Technol Guwahati, Dept Elect & Elect Engn, North Guwahati 781039, Assam, India
关键词
Cyber-physical systems; Denial-of-service; Resilient control; Switched systems; Optimization; MULTIPLE TRANSMISSION CHANNELS; NETWORKED CONTROL-SYSTEMS; EVENT-TRIGGERED CONTROL; CYBER-PHYSICAL SYSTEMS; STABILIZING CONTROL; NONLINEAR-SYSTEMS; ATTACKS; INPUT; STATE;
D O I
10.1016/j.ejcon.2024.101001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The embedded closed -loop in integrated systems can be compromised when attackers execute a successful malicious attack. Hence, over the past decade, interest in enhancing the safety of Cyber -Physical Systems (CPSs) has risen. This article examines the resilient control problem for CPSs with numerous transmission channels under Denial -of -Service (DoS). To begin with, a partial observer technique is developed in response to the Multi -Channel DoS (MCDoS) condition. Secondly, the changing frequency of MCDoS is characterized while maintaining the Input -to -State Stability (ISS) of the closed -loop system. Next, an event -based control strategy is developed to address Full -Scale DoS (FSDoS). Finally, the optimal control parameters are designed to make the system resilient against maximum MCDoS changing frequency.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Inferring Internet denial-of-service activity
    Moore, David
    Shannon, Colleen
    Brown, Douglas J.
    Voelker, Geoffrey M.
    Savage, Stefan
    ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2006, 24 (02): : 115 - 139
  • [32] Keeping denial-of-service attackers in the dark
    Badishi, Gal
    Herzberg, Amir
    Keidar, Idit
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2007, 4 (03) : 191 - 204
  • [33] On Multi-Point, In-Network Filtering of Distributed Denial-of-Service Traffic
    Zhang, Mingwei
    Shi, Lumin
    Sisodia, Devkishen
    Li, Jun
    Reiher, Peter
    2019 IFIP/IEEE SYMPOSIUM ON INTEGRATED NETWORK AND SERVICE MANAGEMENT (IM), 2019, : 180 - 188
  • [34] Characterization of Multi-Channel Interference
    Incel, Oezlem Durmaz
    Jansen, Pierre
    2008 6TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC AND WIRELESS NETWORKS AND WORKSHOPS, VOLS 1 AND 2, 2008, : 411 - 417
  • [35] Secure consensus of multi-agent systems under denial-of-service attacks
    Wen, Guanghui
    Wang, Peijun
    Lv, Yuezu
    Chen, Guanrong
    Zhou, Jialing
    ASIAN JOURNAL OF CONTROL, 2023, 25 (02) : 695 - 709
  • [36] A multi-layer framework for puzzle-based denial-of-service defense
    Wang, XiaoFeng
    Reiter, Michael K.
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2008, 7 (04) : 243 - 263
  • [37] Denial-of-Service attack Possibilities on NFC Technology
    Fahrianto, Feri
    Lubis, Muhammad Fadil
    Fiade, Andrew
    2016 4TH INTERNATIONAL CONFERENCE ON CYBER AND IT SERVICE MANAGEMENT, 2016, : 228 - 232
  • [38] Denial-of-service attack-detection techniques
    Carl, G
    Kesidis, G
    Brooks, RR
    Rai, S
    IEEE INTERNET COMPUTING, 2006, 10 (01) : 82 - 89
  • [39] Detecting Denial-of-Service Attacks Using sFlow
    Hublikar, Shivaraj
    Eligar, Vijaya
    Kakhandki, Arun
    INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, ICICCT 2019, 2020, 89 : 483 - 491
  • [40] Distributed consensus control for multi-agent systems under denial-of-service
    Lu, An-Yang
    Yang, Guang-Hong
    INFORMATION SCIENCES, 2018, 439 : 95 - 107