An intrusion detection system using ranked feature bagging

Author:

Azhagiri M.ORCID,Rajesh A.,Karthik S.,Raja K.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference25 articles.

1. Friday K, Bou-Harb E, Crichigno J, Scanlon M, Beebe N (2021) On offloading network forensic analytics to programmable data plane switches. World Scientific Publishing, Digital forensics and cybersecurity

2. Li J, Qu Y, Chao F, Shum HP, Ho ES, Yang L (2019) Machine learning algorithms for network intrusion detection. In: Sikos LF (ed) AI Cybersecurity. Springer International Publishing, Cham, pp 151–179

3. Liu H, Lang B (2019) Machine learning and deep learning methods for intrusion detection systems: a survey. Appl Sci 9(20):4396

4. Xin Y, Kong L, Liu Z, Chen Y, Li Y, Zhu H, Gao M, Hou H, Wang C (2018) Machine learning and deep learning methods for cybersecurity. IEEE Access 6:35365–35381

5. . Anderson JP (1980) “Computer Security Threat Monitoring and Surveillance”, In: Technical Report James P Anderson Co Fort Washington Pa, pp. 56

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