Cyber Security: Threat Detection Model based on Machine learning Algorithm

A threat can be anything that causes potential damage to the network system. These threats can turn out to be a attack to the system. Threat may occur in any forms like viruses, outright attack, and phishing attack from hackers to gain information. Such attacks put a user’s system and also business system at risks. Cyber security aims at the protection of system from attacks like unauthorized network access, intrusions attacks etc. This paper presents a novel architecture model based on machine learning for the prediction of Cyber security malware that requires execution in a sandbox environment. In order to prevent the attackers from infiltrating the system Machine Learning approach is adapted.