Hybrid Intrusion Detection System Using Machine Learning Techniques in Cloud Computing Environments
暂无分享,去创建一个
Saumendra Sengupta | Korkut Bekiroglu | Ibraheem Aljamal | Ali Tekeoğlu | Ali Tekeoglu | Korkut Bekiroglu | Ibraheem Aljamal | Saumendra Sengupta
[1] Samuel Kounev,et al. Evaluating Computer Intrusion Detection Systems , 2015, ACM Comput. Surv..
[2] Ali Hushyar. Network traffic clustering and geographic visualization , 2009 .
[3] David Pierrot,et al. Hybrid Intrusion Detection in Information Systems , 2016, 2016 International Conference on Information Science and Security (ICISS).
[4] G.P.Saradhi Varma,et al. CLASSIFICATION OF NETWORK VIOLATION DETECTION USING MACHINE LEARNING , 2018 .
[5] Shadi Aljawarneh,et al. Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model , 2017, J. Comput. Sci..
[6] Gregory Ditzler,et al. Learning in Nonstationary Environments: A Survey , 2015, IEEE Computational Intelligence Magazine.
[7] Nour Moustafa,et al. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) , 2015, 2015 Military Communications and Information Systems Conference (MilCIS).
[8] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[9] Jinoh Kim,et al. Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks , 2017, 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud).
[10] Belaid Moa,et al. Hypervisor-based cloud intrusion detection through online multivariate statistical change tracking , 2020, Comput. Secur..