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   application of meta-heuristic algorithms in intrusion detection system  
   
نویسنده saba amirreza ,liu xiang michelle ,mansourvar marjan
منبع international journal of nonlinear analysis and applications - 2022 - دوره : 13 - شماره : 2 - صفحه:2517 -2540
چکیده    With the internet being the dominant tool for global communication in today’s world, the issue of internet information security has become quite a significant challenge. wireless sensor networks, like other systems, can be penetrated and it appears that natural communities, due to their adequate capabilities in information processing, can be utilized as a model in these networks. accordingly, in this study, we shall analyze a model that uses the energy and operational power of the three meta-heuristic algorithms ga, pso & gso that occur in natural communities. furthermore, we introduced four dos, d-dos, wormhole, and sinkhole attacks to these algorithms, and thereafter examined their latency, throughput, and energy. the findings revealed that among these algorithms, the ga algorithm has the highest energy and the pso algorithm has the highest throughput.
کلیدواژه intrusion detection system ,mobile ad-hoc network ,glow worm optimization algorithms ,genetic algorithms ,particle swarm optimization algorithms
آدرس marymount university, school of technology and innovation, usa, marymount university, school of technology and innovation, usa, technical university of denmark (dtu), dtu computer bioscience group, denmark
پست الکترونیکی marjma@dtu.dk
 
     
   
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