An attack-resistant hashing scheme

Peng, Tao; Ramamohanarao, Kotagiri

doi:10.1109/atnac.2007.4665307

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Change Point Detection: Cusum1

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2011

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“…In the non parameter CUSUM algorithm, the idea of sequential variation is proposed (Peng, Leckie, & Ramamohanarao, 2003. To implement that algorithm, one needs to create database containing large amount of legal IP address.…”

Section: Change Point Detection: Cusummentioning

confidence: 99%

Dual-Level Attack Detection, Characterization and Response for Networks Under DDoS Attacks

Sardana

Joshi

2011

International Journal of Mobile Computing and Multimedia Communications

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DDoS attacks aim to deny legitimate users of the services. In this paper, the authors introduce dual - level attack detection (D-LAD) scheme for defending against the DDoS attacks. At higher and coarse level, the macroscopic level detectors (MaLAD) attempt to detect congestion inducing attacks which cause apparent slowdown in network functionality. At lower and fine level, the microscopic level detectors (MiLAD) detect sophisticated attacks that cause network performance to degrade gracefully and stealth attacks that remain undetected in transit domain and do not impact the victim. The response mechanism then redirects the suspicious traffic of anomalous flows to honeypot trap for further evaluation. It selectively drops the attack packets and minimizes collateral damage in addressing the DDoS problem. Results demonstrate that this scheme is very effective and provides the quite demanded solution to the DDoS problem.

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Section: Change Point Detection: Cusummentioning

confidence: 99%