Enhancing Probabilistic Packet Marking by Integrating Dynamic Probability and Time to Live (TTL) Clustering

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Security
Format: PDF
In recent years, denial-of-service attacks emerged as a pressing problem. Since a lot of attention has been placed on denial-of-service defense research and a number of approaches have been proposed. One suggested solution is \"IP Trace back\" which is referred to as tracing malicious packets back to their origin. It categorized in several methodology. Packet marking from this category is the subject of the authors' study. In this paper, they focus on \"Probabilistic Packet Marking (PPM)\" which is inefficient in the case of Distributed Denial of Service (DDoS) attacks due to high false positive in reconstructing attack graph and also high convergence time.
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