Protection against Adversarial Attacks on Malware Detectors Using Machine Learning Algorithms

被引:0
|
作者
I. I. Marshev
E. V. Zhukovskii
E. B. Aleksandrova
机构
[1] Peter the Great St. Petersburg Polytechnic University,
来源
Automatic Control and Computer Sciences | 2021年 / 55卷
关键词
malware detection; machine learning; adversarial attacks; neural networks; statistical analysis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1025 / 1028
页数:3
相关论文
共 50 条
  • [21] To Identify Malware Using Machine Learning Algorithms
    Pujari, Shivam
    Mandoria, H. L.
    Shrivastava, R. P.
    Singh, Rajesh
    COMPUTING SCIENCE, COMMUNICATION AND SECURITY, 2022, 1604 : 117 - 127
  • [22] Predicting Malware Attacks using Machine Learning and AutoAI
    Sokolov, Mark
    Herndon, Nic
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), 2021, : 295 - 301
  • [23] Enhanced Security Against Volumetric DDoS Attacks Using Adversarial Machine Learning
    Shroff, Jugal
    Walambe, Rahee
    Singh, Sunil Kumar
    Kotecha, Ketan
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [24] Using Undervolting as an on-Device Defense Against Adversarial Machine Learning Attacks
    Majumdar, Saikat
    Samavatian, Mohammad Hossein
    Barber, Kristin
    Teodorescu, Radu
    2021 IEEE INTERNATIONAL SYMPOSIUM ON HARDWARE ORIENTED SECURITY AND TRUST (HOST), 2021, : 158 - 169
  • [25] On Embedding Backdoor in Malware Detectors Using Machine Learning
    Sasaki, Shoichiro
    Hidano, Seira
    Uchibayashi, Toshihiro
    Suganuma, Takuo
    Hiji, Masahiro
    Kiyomoto, Shinsaku
    2019 17TH INTERNATIONAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST), 2019, : 300 - 304
  • [26] Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors Using Machine Learning
    Yuan, Ying
    Apruzzese, Giovanni
    Conti, Mauro
    DIGITAL THREATS: RESEARCH AND PRACTICE, 2024, 5 (02):
  • [27] Securing Malware Cognitive Systems against Adversarial Attacks
    Ti, Yuede
    Bowman, Benjamin
    Huang, H. Howie
    2019 IEEE INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING (IEEE ICCC 2019), 2019, : 1 - 9
  • [28] A Defensive Strategy Against Android Adversarial Malware Attacks
    Atedjio, Fabrice Setephin
    Lienou, Jean-Pierre
    Nelson, Frederica F.
    Shetty, Sachin S.
    Kamhoua, Charles A.
    IEEE ACCESS, 2024, 12 : 169432 - 169441
  • [29] Bridging Machine Learning and Cryptography in Defence Against Adversarial Attacks
    Taran, Olga
    Rezaeifar, Shideh
    Voloshynovskiy, Slava
    COMPUTER VISION - ECCV 2018 WORKSHOPS, PT II, 2019, 11130 : 267 - 279
  • [30] Quantifying the Impact of Adversarial Evasion Attacks on Machine Learning Based Android Malware Classifiers
    Abaid, Zainab
    Kaafar, Mohamed Ali
    Jha, Sanjay
    2017 IEEE 16TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2017, : 375 - 384