An Extensive Research on Cyber Threats using Learning Algorithm
C. Aravindan, Terrance Frederick, V. Hemamalini, Madhu Vidha J. Cathirine · 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · 2020
Quotidian, the perspective of cyber attacks. New malware divergent are provoked almost daily, the number of attacks is up by 56%. Many see cyber-security alliterative in the form of machine learning and artificial intelligence ability crease into modern-day tools and platforms. This research elucidates a literature anatomization of cyber threads attacks. In this paper, we cover a wide array of cyber-attack types including malware, threats, spam. There by learning techniques are been imparted for attack detection and mitigation in network system.