Survey on applications of deep learning and machine learning techniques for cyber security

被引:5
|
作者
Alghamdi M.I. [1 ]
机构
[1] Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia, Al-Baha
来源
Alghamdi, Mohammed I. (mialmushilah@bu.edu.sa) | 2020年 / International Association of Online Engineering卷 / 14期
关键词
Applications; Cybersecurity; Deep learning; Machine learning;
D O I
10.3991/ijim.v14i16.16953
中图分类号
学科分类号
摘要
The research aimed to conduct an extensive study of machine learning and deep learning methods in cybersecurity. To accomplish the objectives, the research carried out a qualitative study based on secondary data collection to review the available studies and literature. The research has examined three machine learning methods and three deep learning methods to study the most popular techniques used in cybersecurity. During the research, the working mechanism of each method was studied along with their strengths and weaknesses. Also, a comparative discussion has been made to examine the most effective method for cybersecurity. Limitations in the current literature were also identified, and future direction is also given to target and develop the weak areas of machine learning and deep learning methods. © 2020 by the authors.
引用
收藏
页码:210 / 224
页数:14
相关论文
共 50 条
  • [1] Deep learning algorithms for cyber security applications: A survey
    Li, Guangjun
    Sharma, Preetpal
    Pan, Lei
    Rajasegarar, Sutharshan
    Karmakar, Chandan
    Patterson, Nicholas
    JOURNAL OF COMPUTER SECURITY, 2021, 29 (05) : 447 - 471
  • [2] A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
    Shaukat, Kamran
    Luo, Suhuai
    Varadharajan, Vijay
    Hameed, Ibrahim A.
    Xu, Min
    IEEE ACCESS, 2020, 8 : 222310 - 222354
  • [3] Survey on Techniques, Applications and Security of Machine Learning Interpretability
    Ji S.
    Li J.
    Du T.
    Li B.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2019, 56 (10): : 2071 - 2096
  • [4] Machine Learning and Deep Learning in Cyber Security for IoT
    Velliangiri, S.
    Kasaraneni, Kenanya Kumar
    Lecture Notes in Electrical Engineering, 2020, 601 : 975 - 981
  • [5] On the Effectiveness of Machine and Deep Learning for Cyber Security
    Apruzzese, Giovanni
    Colajanni, Michele
    Ferretti, Luca
    Guido, Alessandro
    Marchetti, Mirco
    2018 10TH INTERNATIONAL CONFERENCE ON CYBER CONFLICT (CYCON X): MAXIMISING EFFECTS, 2018, : 371 - 389
  • [6] A Survey of Deep Learning Methods for Cyber Security
    Berman, Daniel S.
    Buczak, Anna L.
    Chavis, Jeffrey S.
    Corbett, Cherita L.
    INFORMATION, 2019, 10 (04)
  • [7] A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Cyber Security
    R. Geetha
    T. Thilagam
    Archives of Computational Methods in Engineering, 2021, 28 : 2861 - 2879
  • [8] A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Cyber Security
    Geetha, R.
    Thilagam, T.
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2021, 28 (04) : 2861 - 2879
  • [9] Machine learning and cyber security
    Karius, Sebastian
    Knoechel, Mandy
    Hesse, Sascha
    Reiprich, Tim
    IT-INFORMATION TECHNOLOGY, 2023, 65 (4-5): : 142 - 154
  • [10] Analysis of Machine Learning and Deep Learning in Cyber-Physical System Security
    Ankita
    Zaguia, Atef
    Rani, Shalli
    Bashir, Ali Kashif
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION NETWORKS (ICCCN 2021), 2022, 394 : 355 - 363