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- Title
Intrusion Detection Network Attacks Based on Whale Optimization Algorithm.
- Authors
Mohamed, Sundus Abdulmuttalib; Alsaif, Omar Ibrahim; Saleh, Ibrahim Ahmed
- Abstract
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, the need for a network penetration detection process became urgent. This paper proposed an optimization method to detect the potential of attacks on network packets effectively by defining unfamiliar patterns in a massive volume of the network traffic. Initially, the packet characteristics are defined as the normal dispersal of attributes from the data packet. This algorithm is used a bio-inspired meta-heuristic technique named whale optimization algorithm (WOA) to detect systems against the attackers. The detection method whale optimization (DMWO) is applied to calculate the process of standard deviation distribution to judge the anomaly of the data packet. The simulation algorithm performed by OPNET and Matlab-2015a to main factors of DMGO to classify the input to check whether any attack is present or not. Finally, the performance of this algorithm is a better flexibility result compared with other algorithms DMCM and IHMM.
- Publication
Ingénierie des Systèmes d'Information, 2022, Vol 27, Issue 3, p441
- ISSN
1633-1311
- Publication type
Academic Journal
- DOI
10.18280/isi.270310