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» Detecting Unknown Worms Using Randomness Check
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JCS
2006
81views more  JCS 2006»
13 years 4 months ago
Effective worm detection for various scan techniques
In recent years, the threats and damages caused by active worms have become more and more serious. In order to reduce the loss caused by fastspreading active worms, an effective de...
Jianhong Xia, Sarma Vangala, Jiang Wu, Lixin Gao, ...
CN
2007
137views more  CN 2007»
13 years 4 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....
ISI
2007
Springer
13 years 4 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
TDSC
2010
172views more  TDSC 2010»
12 years 11 months ago
Proactive Detection of Computer Worms Using Model Checking
Although recent estimates are speaking of 200,000 different viruses, worms, and Trojan horses, the majority of them are variants of previously existing malware. As these variants m...
Johannes Kinder, Stefan Katzenbeisser, Christian S...
CCS
2007
ACM
13 years 11 months ago
Memsherlock: an automated debugger for unknown memory corruption vulnerabilities
Software vulnerabilities have been the main contributing factor to the Internet security problems such as fast spreading worms. Among these software vulnerabilities, memory corrup...
Emre Can Sezer, Peng Ning, Chongkyung Kil, Jun Xu