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» A Worm Behavioral Approach to Susceptible Host Detection
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INFOCOM
2006
IEEE
15 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 ...
85
Voted
IMC
2004
ACM
15 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
15 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...
78
Voted
CN
2007
137views more  CN 2007»
14 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
14 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