Network Analysis System for Detecting Unknown Attack Using SVM and Network Intrusion: A Review

For network administration, one of the most critical component is intrusion detection due to large number of unknown attacks. These unknown attacks are not able to detect system so persistently damage our existing system. Past network-attacks had simple purposes of leaking personal information by attacking the PC or destroying the system or existing technologies to detect these attacks are based on pattern matching methods which are very limited. Because of this fact, detection rate becomes very low in the event of new and previously unknown attacks. To defend against these unknown attacks, in this paper, we plan to develop a big data based system for detecting attacks which are unknown to the existing system. Big data analysis techniques can extract information from a variety of sources to detect future attacks. This is done using previous learning about the attacks on which the system is trained previously and finding patterns about these attacks by using SVM method.