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» A Worm Behavioral Approach to Susceptible Host Detection
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INFOCOM
2006
IEEE
14 years 3 months ago
Design and Evaluation of a Fast and Robust Worm Detection Algorithm
— Fast spreading worms are a reality, as amply demonstrated by worms such as Slammer, which reached its peak propagation in a matter of minutes. With these kinds of fast spreadin...
Tian Bu, Aiyou Chen, Scott A. Vander Wiel, Thomas ...
IMC
2004
ACM
14 years 3 months ago
On scalable attack detection in the network
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese
SIGCOMM
2009
ACM
14 years 4 months ago
Impact of IT monoculture on behavioral end host intrusion detection
In this paper, we study the impact of today’s IT policies, defined based upon a monoculture approach, on the performance of endhost anomaly detectors. This approach leads to th...
Dhiman Barman, Jaideep Chandrashekar, Nina Taft, M...
CN
2007
137views more  CN 2007»
13 years 9 months ago
Defending against hitlist worms using network address space randomization
Worms are self-replicating malicious programs that represent a major security threat for the Internet, as they can infect and damage a large number of vulnerable hosts at timescal...
Spyros Antonatos, Periklis Akritidis, Evangelos P....
USS
2004
13 years 11 months ago
Autograph: Toward Automated, Distributed Worm Signature Detection
Today's Internet intrusion detection systems (IDSes) monitor edge networks' DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its l...
Hyang-Ah Kim, Brad Karp