An Extensive Research on Cyber Threats using Learning Algorithm

Autor: Madhu Vidha.J Cathirine, C Aravindan., Terrance Frederick, V Hemamalini.
Rok vydání: 2020
Předmět:
Zdroj: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE).
DOI: 10.1109/ic-etite47903.2020.337
Popis: 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.
Databáze: OpenAIRE