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Abstract
Computational systems are gradually moving towards Cloud Computing Infrastructures, using the several advantages they have to offer and especially the economic advantages in the era of an economic crisis. In addition to this revolution, several security matters emerged and especially the confrontation of malicious insiders. This paper proposes a methodology for detecting the co-residency and network stressing attacks in the kernel layer of a Kvm-based cloud environment, using an implementation of the Smith-Waterman genetic algorithm. The proposed approach has been explored in a test bed environment, producing results that verify its effectiveness.
Highlights
Distributed systems have made a huge renovation in Information Technology (IT) infrastructures
The logs corresponding to normal system operation for a time period equal to that of the first attack step are referred as fnormal, of the second attack
The results, which were presented in the previous section, have verified that approach, since the comparison of the system calls triggered during the attack steps exhibits a much larger similarity than that produced when comparing the logs from some attack step and the respective logs for normal system operation
Summary
Distributed systems have made a huge renovation in Information Technology (IT) infrastructures. It is well known that every novelty, despite offering a lot of advantages, brings several disadvantages. The latter usually remains hidden, until a ? We refer to the security threats that the new technology has raised. They can be classified as: related to the service provider or to the infrastructure or to the host of the Cloud System
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