1 research outputs found
Comparative Analysis of State-of-the-Art EDoS Mitigation Techniques in Cloud Computing Environment
A new variant of the DDoS attack, called Economic Denial of Sustainability
attack has emerged. Since the cloud service is based on the pay-per-use model,
the EDoS attack endeavors to scale up the resource usage over time to the point
the purveyor of the server is financially incapable of sustaining the service
due to the incurred unaffordable usage charges. The implication of the EDoS
attack is a major security implication as more elastic cloud services are being
deployed. Existing techniques to detect and mitigate such attacks are either
have low accuracy or ineffective and, in some cases, aggravate the attack even
further. Therefore, an Enhanced Mitigation Mechanism is proposed to address
these shortcomings using OpenFlow and statistical techniques, i.e. Hellinger
Distance and Entropy. The experiments clearly depicted that EMM is able to
detect and mitigate EDoS attacks with high accuracy and it is effective in
terms of resource utilization compared to existing mitigation techniques. Thus,
can be deployed in the cloud environment without the need for additional
resource requirements.Comment: Anomaly Detection Techniques, Cloud Computing, DDoS Attack, EDoS
Attack, Mitigation Techniques, Security Threat