Chaotic Theory based Defensive Mechanism against Distributed Denial of Service Attack in Cloud Computing Environment

Cloud computing is an advantageous technology, which allows any enterprises to shift their data towards Cloud Service Provider (CSP) end. This shift poses an essential necessity for data being available all the time with a considerable level of security. Availability is an important concern for any subscribers as their sensitive data are prone to attack threats. Resource and data availability are most important security measure. So, blocking the attack traffic towards Data Center (DC) improves availability, but passive outwitting leads to high false positive and negative rate. This affects the legitimate requestors being outwitted. So, the proposed chaotic theory based defense mechanism considers the stability state of traffic and detects the anomaly traffic condition. The anomaly traffic condition is just the passive way of diminishing the effect of overload, but classifying them appropriately and allowing the non-attack case of overload improves the availability and utilization and reduces the false case rates. Considering several cases of overload threats and allowing the legitimate overload case improves efficiency. The simulation results proved that the mechanism proposed is deployable at an attack-prone DC for resource protection, which would eventually benefit the DC economically as well.