Research Article Open Access

Dynamic Approach to Defend Against Distributed Denial of Service Attacks Using an Adaptive Spin Lock Rate Control Mechanism

R. Anurekha1, K. Duraiswamy1, A. Viswanathan1, V. P. Arunachalam1, K. Ganesh Kumar2 and A. Rajivkannan1
  • 1 ,
  • 2 , Afganistan
Journal of Computer Science
Volume 8 No. 5, 2012, 632-636

DOI: https://doi.org/10.3844/jcssp.2012.632.636

Submitted On: 1 November 2011 Published On: 17 February 2012

How to Cite: Anurekha, R., Duraiswamy, K., Viswanathan, A., Arunachalam, V. P., Kumar, K. G. & Rajivkannan, A. (2012). Dynamic Approach to Defend Against Distributed Denial of Service Attacks Using an Adaptive Spin Lock Rate Control Mechanism. Journal of Computer Science, 8(5), 632-636. https://doi.org/10.3844/jcssp.2012.632.636

Abstract

Problem statement: The last decade has seen many prominent Distributed Denial of Service (DDoS) attacks on high profile webservers. In this study, we deal with DDoS attacks by proposing a dynamic reactive defense system using an adaptive Spin Lock Rate control (D3SLR). D3SLR identifies malicious traffic flow towards a target system based on the volume of traffic flowing towards the victim machine. Approach: The proposed scheme uses a divide and conquer approach to identify the infected interface via which malicious traffic are received and selectively implements rate limiting based on the source of traffic flow towards victim and type of packet rather than a collective rate limiting on flow towards victim. Results: The results observed in simulation shows that D3SLR detects the onset of the attacks very early and reacts to the threat by rate limiting the malicious flow. The spin lock rate control adapts quickly to any changes in the rate of flow. Conclusion: D3SLR can be successfully implemented at critical points in the network as autonomous defense systems working independently to limit damage to the victim and also allows legitimate flows towards the target system with a higher degree of accuracy.

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Keywords

  • Spin lock rate control
  • adaptive rate limiting
  • distributed denial of service