Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights

被引:0
|
作者
Genuario, Filippo [1 ]
Santoro, Giuseppe [1 ]
Giliberti, Michele [1 ]
Bello, Stefania [2 ]
Zazzera, Elvira [3 ]
Impedovo, Donato [4 ]
机构
[1] Invest & Engineering S.r.l., Viale Paolo Borsellino e Giovanni Falcone, 17, BA, Bari,70125, Italy
[2] Digital Innovation S.r.l, Via Edoardo Orabona, 4, BA, Bari,70125, Italy
[3] Kad3 S.r.l., Via Baione, sncBA, Monopoli,70043, Italy
[4] Department of Computer Science, University of Bari Aldo Moro, Piazza Umberto I, 1, BA, Bari,70121, Italy
关键词
1101.2; -; 1101.2.1; 1105; 1106.2; 1108.1;
D O I
10.3390/info15110741
中图分类号
学科分类号
摘要
38
引用
收藏
相关论文
共 50 条
  • [1] Proposal of a Machine Learning-based Model to Optimize the Detection of Cyber-attacks in the Internet of Things
    Seyed, Cheikhane
    Ngo, Jeanne Roux Bilong
    Kebe, Mbaye
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (11) : 965 - 970
  • [2] Detection of power grid disturbances and cyber-attacks based on machine learning
    Wang, Defu
    Wang, Xiaojuan
    Zhang, Yong
    Jin, Lei
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2019, 46 : 42 - 52
  • [3] Using Ensemble Learning Approach To Identify Rare Cyber-Attacks In Network Traffic Data
    Doreswamy
    Hooshmand, Mohammad Kazim
    ICACSIS 2020: 2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2020, : 141 - 146
  • [4] Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning
    Elsisi, Mahmoud
    Tran, Minh-Quang
    Mahmoud, Karar
    Mansour, Diaa-Eldin A.
    Lehtonen, Matti
    Darwish, Mohamed M. F.
    IEEE ACCESS, 2021, 9 : 78415 - 78427
  • [5] An Ensemble Learning-Based Cyber-Attacks Detection Method of Cyber-Physical Power Systems
    Lu, Kang-Di
    Wu, Zheng-Guang
    2022 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2022), 2022, : 1029 - 1034
  • [6] A Multiagent and Machine Learning based Hybrid NIDS for Known and Unknown Cyber-attacks
    Ouiazzane, Said
    Addou, Malika
    Barramou, Fatimazahra
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (08) : 375 - 382
  • [7] Deep Learning-based Detection and Mitigation Strategy for Cyber-attacks on Advanced Metering Infrastructure
    Acharya, Aparna
    Bhalja, Bhavesh R.
    18TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE, SYSCON 2024, 2024,
  • [8] A Learning-Based Framework for Detecting Cyber-Attacks Against Line Current Differential Relays
    Ameli, Amir
    Ayad, Abdelrahman
    El-Saadany, Ehab F.
    Salama, Magdy
    Youssef, Amr
    IEEE TRANSACTIONS ON POWER DELIVERY, 2021, 36 (04) : 2274 - 2286
  • [9] Effectively predicting cyber-attacks through isolation forest learning-based outlier detection
    Ripan, Rony Chowdhury
    Islam, Md Moinul
    Alqahtani, Hamed
    Sarker, Iqbal H.
    SECURITY AND PRIVACY, 2022, 5 (03):
  • [10] A future prediction for cyber-attacks in the network domain with the visualisation of patterns in cyber-security tickets with machine learning
    Sivajothi, E.
    Diana, S. Mary
    Rekha, M.
    Lincy, R. Babitha
    Damodharan, P.
    Rubia, J. Jency
    INTERNATIONAL JOURNAL OF ELECTRONIC SECURITY AND DIGITAL FORENSICS, 2024, 16 (05) : 648 - 661