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» Detecting Flooding-Based DDoS Attacks
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LCN
2005
IEEE
14 years 1 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
MUE
2009
IEEE
252views Multimedia» more  MUE 2009»
14 years 2 months ago
DDoS Detection and Traceback with Decision Tree and Grey Relational Analysis
As modern life becomes increasingly closely bound to the Internet, network security becomes increasingly important. Like it or not, we all live under the shadow of network threats...
Yi-Chi Wu, Huei-Ru Tseng, Wuu Yang, Rong-Hong Jan
IDEAL
2003
Springer
14 years 21 days ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...
DISCEX
2003
IEEE
14 years 24 days ago
Statistical Approaches to DDoS Attack Detection and Response
The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These me...
Laura Feinstein, Dan Schnackenberg, Ravindra Balup...
ICDCS
2007
IEEE
14 years 1 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...