Computational systems are gradually moving towards Cloud Computing Infrastructures, using the several advantages\nthey have to offer and especially the economic advantages in the era of an economic crisis. In addition to this\nrevolution, several security matters emerged and especially the confrontation of malicious insiders. This paper proposes\na methodology for detecting the co-residency and network stressing attacks in the kernel layer of a Kvm-based cloud\nenvironment, using an implementation of the Smith-Waterman genetic algorithm. The proposed approach has been\nexplored in a test bed environment, producing results that verify its effectiveness.
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