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  • 标题:The Correlation of Scalable Watermarking to Detect Traffic Flow Attacks in the Network
  • 本地全文:下载
  • 作者:M.Prem Swarup ; M.V.Rajesh
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:679-684
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Tracing attackers’ traffic through stepping stones is a challenging problem, especially when the attack traffic is encrypted, and its timing is manipulated (perturbed) to interfere with traffic analysis. The random timing perturbation by the adversary can greatly reduce the effectiveness of passive, timing-based correlation techniques. We design SWIRL, a Scalable Watermark that is invisible and resilient to packet Losses. SWIRL is the first watermark that is practical to use for large-scale traffic analysis. SWIRL uses a flow dependent approach to resist multi flow attacks. Marking each flow with a different pattern. SWIRL is robust to packet losses and network jitter, yet it introduces only small delays that are invisible to beth benign users and determined adversaries. We analyze the performance of SWIRL both analytically and on the Planet Lab tested, , demonstrating very low error rates. We consider applications of SWIRL to stepping stone detection and linking anonymous communication.
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