Advance DDOS detection and mitigation technique for securing cloud. (2018)

• Record Type: Journal Article
• Authors: Zareapoor, Masoumeh; Shamsolmoali, Pourya; Alam, M. Afshar
• Is Part Of: International journal of computational science and engineering. Volume 16:Number 3(2018)
• Page Start: 303
• Page End: 310
• Publication Date: 2018
• Subjects: distributed denial of service -- DDOS -- information divergence -- cloud security -- filtering; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Distributed denial of service (DDoS) attacks have become a serious attack on internet security and cloud computing. This kind of attacks is the most complex form of denial of service (DoS) attacks. This type of attack can simply duplicate its source address, such as spoofing attack, which disguises the real location of the attack. Therefore, DDoS attack is the most significant challenge for network security. In this paper, we present a model to detect and mitigate DDoS attacks in cloud computing. The proposed model requires very small storage and has the ability of fast detection. The experimental results show that the system is able to mitigate most of the attacks. Detection accuracy and processing time were the metrics used to evaluate the performance of proposed model. From the results, it is evident that the system achieved high detection accuracy (97%) with some minor false alarms.