CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks

Author:

Sarker Iqbal H.

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference65 articles.

1. Intrudtree: a machine learning based cyber security intrusion detection model;Sarker;Symmetry (Basel),2020

2. Unsw-nb15: a comprehensive data set for network intrusion detection systems (unsw-nb15 network data set);Moustafa,2015

3. A survey on the development of self-organizing maps for unsupervised intrusion detection;Qu;Mob. Netw. Appl.,2019

4. Ai-driven cybersecurity: an overview, security intelligence modeling and research directions;Sarker;SN Comput. Sci.,2021

5. Machine learning-based IoT-botnet attack detection with sequential architecture;Soe;Sensors,2020

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