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» Statistical Approaches to DDoS Attack Detection and Response
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INFOCOM
2005
IEEE
13 years 10 months ago
On the effectiveness of DDoS attacks on statistical filtering
— Distributed Denial of Service (DDoS) attacks pose a serious threat to service availability of the victim network by severely degrading its performance. Recently, there has been...
Qiming Li, Ee-Chien Chang, Mun Choon Chan
ITIIS
2010
172views more  ITIIS 2010»
13 years 3 months ago
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...
Ruoyu Yan, Qinghua Zheng, Haifei Li
JPDC
2006
253views more  JPDC 2006»
13 years 4 months ago
Collaborative detection and filtering of shrew DDoS attacks using spectral analysis
This paper presents a new spectral template-matching approach to countering shrew distributed denial-of-service (DDoS) attacks. These attacks are stealthy, periodic, pulsing, and ...
Yu Chen, Kai Hwang
LCN
2005
IEEE
13 years 10 months ago
Filtering of Shrew DDoS Attacks in Frequency Domain
—The shrew Distributed Denial of Service (DDoS) attacks are periodic, bursty, and stealthy in nature. They are also known as Reduction of Quality (RoQ) attacks. Such attacks coul...
Yu Chen, Kai Hwang, Yu-Kwong Kwok
ICDCS
2007
IEEE
13 years 11 months ago
Streaming Algorithms for Robust, Real-Time Detection of DDoS Attacks
Effective mechanisms for detecting and thwarting Distributed Denial-of-Service (DDoS) attacks are becoming increasingly important to the success of today’s Internet as a viable ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...