Nowadays, cloud computing technology is experiencing a fastest growing in terms services demand and number of cloud clients which make the business organizations against a critical issue must be addressed (How to Secure Cloud Data Center (CDC)). As result, this major challenge has attracted the attention of several research works. The attacker is looking for unavailability of service, dysfunctioning of resources and maximization of financial loss costs. There are many types of attack such as Denial of service (DoS) and Distributed Denial of Service (DDoS) where the key objective for the attacker is to cause an overloading of the system network. They seek to send through a victim server a huge size of data as flooding packets so as to block and prevent the users to be served. This paper introduced a defending system for DoS attack mitigation in CDC environment. Generally, it discussed the different techniques of DoS attacks and its countermeasures as well proactive filtering and detection mechanisms. Consequently, to validate our proposed solution, we have implemented our analytical model in Discrete Event Simulator. The proposed mathematical model considers many performance parameters including response time, throughput, drop rate, resource computing utilization, and mean waiting time in the system, mean number of legitimate clients in the system when varying the attack arrival rate. Indeed, we have estimated the incurred cost from the attack. Implementing performance analysis using queueing theory and simulation experiments, the proposed solution would improve the flexibility and accuracy of DoS attack prevention, and would obviously make the cloud computing environment more secured.
展开▼
