Intrusion Detection Network Attacks Based on Whale Optimization Algorithm

Network intrusion detection is a significant issue faced by the Information technology industry. Hacker's attacks set of techniques cause confusion network and computer systems, therefore, need for penetration process became urgent. This paper proposed an optimization method to detect potential on packets effectively defining unfamiliar patterns in massive volume traffic. Initially, packet characteristics are defined as normal dispersal attributes from data packet. algorithm used bio-inspired meta-heuristic technique named whale (WOA) systems against attackers. The (DMWO) applied calculate standard deviation distribution judge anomaly simulation performed OPNET Matlab-2015a main factors DMGO classify input check whether any attack present or not. Finally, performance this better flexibility result compared with other algorithms DMCM IHMM.