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Conference Paper Behavior-based Clustering for Discrimination between Flash Crowds and DDoS Attacks
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Authors
Young Jun Heo, Jin Tae Oh, Jong Soo Jang
Issue Date
2009-07
Citation
International Conference on Security and Cryptography (SECRYPT) 2009, pp.1-4
Language
English
Type
Conference Paper
Project Code
09MS5300, Development of Anti-DDoS Technology, Jong Soo Jang
Abstract
We propose discrimination methods that classify cluster of traffic behaviour of flash crowds and DDoS attacks such as traffic pattern and characteristics and check cluster randomness. The behavior-based clustering consolidates packet into clusters based on similarity of observed behavior, e.g., source IPs are clustered together based on their pattern of destination port usage. The main objectives are to find way to proactively resolve problems such as DDoS attacks by detection and resolving attacks in their early development stages.
KSP Keywords
DDoS attacks, Early development, Flash Crowds, Traffic pattern, behavior-based