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Cross-Layer Hidden Markov Analysis for Intrusion Detection

Computers, Materials & Continua 2022年第2期70卷 3685-3700页

作者： K.Venkatachalam P.Prabu B.Saravana Balaji Byeong-Gwon Kang Yunyoung Nam Mohamed Abouhawwash Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Information Technology Lebanese French UniversityErbil44001KRIraq Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA

Ad hoc mobile cloud computing networks are affected by various issues,like delay,energy consumption,flexibility,infrastructure,network lifetime,security,stability,data transition,and link *** the issues above,route failure is prevalent in ad hoc mobile cloud computing networks,which increases energy consumption and delay and reduces *** issues may affect several interconnected nodes in an ad hoc mobile cloud computing *** address these weaknesses,which raise many concerns about privacy and security,this study formulated clustering-based storage and search optimization approaches using cross-layer *** proposed approaches were formed by cross-layer analysis based on intrusion detection ***,the clustering process based on storage and search optimization was formulated for clustering and route maintenance in ad hoc mobile cloud computing ***,delay,energy consumption,network lifetime,and link accomplishment are highly addressed by the proposed *** hidden Markov model is used to maintain the data transition and distributions in the *** data communication network,like ad hoc mobile cloud computing,faces security and confidentiality ***,the main security issues in this article are addressed using the storage and search optimization ***,the new algorithm developed helps detect intruders through intelligent cross layer analysis with theMarkov *** proposed model was simulated in Network Simulator 3,and the outcomes were compared with those of prevailing methods for evaluating parameters,like accuracy,end-to-end delay,energy consumption,network lifetime,packet delivery ratio,and throughput.

关键词： Data transition end-to-end delay energy consumption flexibility hidden Markov model intrusion detection link optimization packet delivery ratio privacy security searching throughput

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