A Framework Extension To Support Flash Crowd Using Service Differentiation At The Application
Kailash Pareek,Prof. K.P. Yadav
Abstract
Software As Service (SAAS) from CLOUD represents an Application Layer of networks. The Security need of Application layer is to protect the DATA or FILE in that layer. Various types of Distributed Denial Of Service Attacks(DDOS) have been performed on this layer in order to steal the DATA or consume the resource from the Application. The current challenge in network security is to propose a framework that separate the ddos attack from the flash crowd thus not punishing the legitimate flash traffic at any cause. In this paper, we propose a model which is an extension of existing novel framework and it is named as SADSD . This SADSD is Source validation And Detection with Service Differentiation which makes the suspicious users to prove their legitimacy whose web requests are delayed once it is detected that their signatures are bad signatures. Keyword :-Application Layer, CLOUD, DDOS, Flash Crowd, SADSD.
References
1. Sujatha Sivabalan and Dr P J Radcliffe, “ A Novel Framework to detect and block DDoS attack at the Application layer”, IEEE , 2013. 2. Yash Pravinkumar Raithatha and Chirag Suryakant Thaker, “Various Methods used for the Protection, Detection and Prevention of Application Layer DDOS Attacks”, IEEE, Vol 2 Issue 5 May 2013. 3. S. Renuka Devi and P. Yogesh, “An Effective Approach to Counter Application Layer DDoS Attacks”, IEEE, 2012. 4. Shui Yu, Weijia Jia, Yong Xiang, and Feilong Tang,“Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient”, IEEE Transactions On Parallel And Distributed Systems, VOL. 23, NO. 6, JUNE 2012. 5. Theerasak Thapngam, Shui Yu, Wanlei Zhou and Gleb Beliakov,”Discriminating DDoS Attack Traffic from Flash Crowd through Packet Arrival Patterns”, IEEE, 2011.