A Hybrid approach using digital forensics for attack detection in a cloud network environment
In the recent era, the web is the major means used by cyber-criminals to carry out attacks alongside people and groups. Due to the continually increasing number of Internet users these attacks might influence from an enormous goal surface. Characteristic attacks commit during the ICMP Attack, TCP Sync Attack, UDP ATTACK, log analysis scamming, and so on. In the few last years, we have seen the growth of a threat through data sending or receiving via the internet. In demanding they use various web technologies for arranging the victim's machine and to build, at runtime, the appropriate response to being sent to the client. Provide a deep insight into this problem and proposes narrative solutions for the analysis of existing ICMP Attack, TCP Sync Attack, UDP Attack, log analysis. With the Hybrid approach using digital forensics for attack detection in a cloud network environment make a less complex system for improving the current issues of the computational complexity and applying cyber Forensic investigation (KNN, MLP). Our proposed approach is very effective for classification the attack dataset.