Mean Availability Parameter-Based DDoS Detection Mechanism for Cloud Computing Environments

摘要

Trustworthiness of edge routers and clients plays a significant role in a cloud environment for ensuring reliable packet delivery. Trust of clients depends on the level of cooperation attributed by them for ensuring seamless service and on the support rendered by them for the sake of their neighbouring clients towards the core objective of reliable data dissemination. The level of collaboration between clients is highly influenced by distributed denial of service (DDoS) attacks as they directly influence the performance of cloud computing environment by preventing them from involving in normal data transactions that could result in reduced throughput and packet delivery rate. A mean availability parameter-based DDoS detection mechanism (MAPDDM) is contributed for handling the impacts induced by DDoS towards the dynamic clients of the subnet. The performance of MAPDDM is analysed by varying the size of subnets and number of attackers under the dynamic influence of varying traffic request using CloudSim. The simulation results infer that MAPDDM is phenomenal in sustaining the trust value of clients to a maximum of 82% even when the amount of traffic is varied.