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Distributed Denial-of-Service (DDoS) attacks are a critical threat to the Internet. However, the memory-less feature of the Internet routing mechanisms makes it extremely hard to trace back to the source of these attacks. As a result, there is no effective and efficient method to deal with this issue so far. In this paper, the authors propose a novel traceback method for DDoS attacks that is based on entropy variations between normal and DDoS attack traffic, which is fundamentally different from commonly used packet marking techniques. In comparison to existing DDoS traceback methods, the proposed strategy possesses a number of advantages - it is memory non-intensive, efficiently scalable, robust against packet pollution and independent of attack traffic patterns.
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