Using Machine Learning Algorithms and Honeypot Systems to Detect Adversarial Attacks on Intrusion Detection Systems

被引:0
|
作者
P. E. Yugai [1 ]
D. A. Moskvin [1 ]
机构
[1] Peter the Great St. Petersburg Polytechnic University,
关键词
intrusion detection system; machine learning; adversarial attack; honeypot system; evasion attack; poisoning attack; model extraction attack; binary classifier; multiclass classifier;
D O I
10.3103/S014641162470086X
中图分类号
学科分类号
摘要
引用
收藏
页码:1226 / 1233
页数:7
相关论文
共 50 条
  • [41] Improved Robust Adversarial Model against Evasion Attacks on Intrusion Detection Systems
    Anaedevha, R.N.
    Trofimov, A.G.
    Optical Memory and Neural Networks (Information Optics), 2024, 33 (Suppl 3): : S414 - S423
  • [42] Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues
    Corona, Igino
    Giacinto, Giorgio
    Roli, Fabio
    INFORMATION SCIENCES, 2013, 239 : 201 - 225
  • [43] Advancements in Intrusion Detection Systems for Internet of Things Using Machine Learning
    Ul Haq, Shahid
    Abbas, Ash Mohammad
    2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), 2022,
  • [44] Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems
    Zizzo, Giulio
    Hankin, Chris
    Maffeis, Sergio
    Jones, Kevin
    2020 IEEE 19TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2020), 2020, : 900 - 911
  • [45] Utilizing Autoencoder to Improve the Robustness of Intrusion Detection Systems against Adversarial Attacks
    Kibenge-MacLeod, Patricia
    Ye, Qiang
    Cui, Fangda
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 970 - 975
  • [46] Comparison of Machine Learning Algorithms trained under Differential Privacy for Intrusion Detection Systems
    Siachos, Ioannis
    Kaltakis, Konstantinos
    Papachristopoulou, Konstantina
    Giannoulakis, Ioannis
    Kafetzakis, Emmanouil
    2023 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE, CSR, 2023, : 654 - 658
  • [47] Detection of Slowloris Attacks using Machine Learning Algorithms
    Rios, Vinicius de Miranda
    Inacio, Pedro R. M.
    Magoni, Damien
    Freire, Mario M.
    39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024, 2024, : 1321 - 1330
  • [48] Detection of DDoS Attacks using Machine Learning Algorithms
    Saini, Parvinder Singh
    Behal, Sunny
    Bhatia, Sajal
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM-2020), 2019, : 16 - 21
  • [49] DDoS Attacks Detection Using Machine Learning Algorithms
    Li, Qian
    Meng, Linhai
    Zhang, Yuan
    Yan, Jinyao
    DIGITAL TV AND MULTIMEDIA COMMUNICATION, 2019, 1009 : 205 - 216
  • [50] Predicting DDoS Attacks Using Machine Learning Algorithms in Building Management Systems
    Avci, Isa
    Koca, Murat
    ELECTRONICS, 2023, 12 (19)