Accurate Monitoring of Cyber Attacks and User Acknowledgment Using Machine Learning

Abstract

Cyber-Attackers capture internet users and businesses in order to steal vital information. Attackers gain access to sensitive information on company computers, including login details or credit card details and bank account numbers. Phishing attacks are one type of cyber-attack in which hackers fool internet users into thinking their websites are legitimate in order to steal their non-public information. In malware attacks, attackers secretly in stalls a harmful Programs on company servers or user computers through internet, then proceeds to steal every piece of data stored on that server or computer. Attacks by malware are getting increasingly frequent. A network intrusion is an attack where the attacker intends to steal every resource from the network. Heuristic and visual similarity-based approach, whether blacklist or whitelist,