Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review

被引：0
|
作者：
Guembe, Blessing [1 ,3 ]
Azeta, Ambrose [2 ,3 ]
Misra, Sanjay [2 ,3 ]
Ahuja, Ravin [3 ,4 ]
机构：
[1] Department of Computer and Information Sciences, Covenant University, Ogun, Ota, Nigeria
[2] Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia
[3] Department of Computer Science and Communication, Ostfold University College, Halden, Norway
[4] Delhi Skills and Entrepreneurship University, Delhi, India
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2022年 / 13381 LNCS卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Database systems - Decision trees - Diagnosis - Digital libraries - Face recognition - Learning algorithms - Machine learning - Philosophical aspects - Semantics - Transparency
引用
收藏
页码：265 / 278
相关论文
共 50 条
  • [1] Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review
    Guembe, Blessing
    Azeta, Ambrose
    Misra, Sanjay
    Ahuja, Ravin
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2022 WORKSHOPS, PART V, 2022, 13381 : 265 - 278
  • [2] Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT
    Khan, Fazlullah
    Alturki, Ryan
    Rahman, Md Arafatur
    Mastorakis, Spyridon
    Razzak, Imran
    Shah, Syed Tauhidullah
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (01) : 1030 - 1038
  • [3] On Mismatched Detection and Safe, Trustworthy Machine Learning
    Varshney, Kush R.
    2020 54TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2020, : 262 - 265
  • [4] Email Spam Detection by Machine Learning Approaches: A Review
    Hadi, Mohammad Talib
    Baawi, Salwa Shakir
    FORTHCOMING NETWORKS AND SUSTAINABILITY IN THE AIOT ERA, VOL 1, FONES-AIOT 2024, 2024, 1035 : 186 - 204
  • [5] Machine Learning Approaches to Automatic Stress Detection: A Review
    Elzeiny, Sami
    Qaraqe, Marwa
    2018 IEEE/ACS 15TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2018,
  • [6] Spoofed Email Based Cyberattack Detection Using Machine Learning
    Shukla, Sanjeev
    Misra, Manoj
    Varshney, Gaurav
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2025, 65 (02) : 159 - 171
  • [7] Trustworthy Machine Learning
    Thuraisingham, Bhavani
    IEEE INTELLIGENT SYSTEMS, 2022, 37 (01) : 21 - 24
  • [8] Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics
    Alshehri, Abdullah
    Khan, Nayeem
    Alowayr, Ali
    Alghamdi, Mohammed Yahya
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 44 (02): : 1679 - 1689
  • [9] A Review on Mobile Threats and Machine Learning Based Detection Approaches
    Arslan, Bilgehan
    Gunduz, Sedef
    Sagiroglu, Seref
    2016 4TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSIC AND SECURITY (ISDFS), 2016, : 7 - 13
  • [10] A Review of Android Malware Detection Approaches Based on Machine Learning
    Liu, Kaijun
    Xu, Shengwei
    Xu, Guoai
    Zhang, Miao
    Sun, Dawei
    Liu, Haifeng
    IEEE ACCESS, 2020, 8 (08): : 124579 - 124607
12345