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» Detecting worm variants using machine learning
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105
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NAACL
2007
15 years 1 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
79
Voted
COMPSEC
2008
113views more  COMPSEC 2008»
14 years 11 months ago
Automated containment of rootkits attacks
Abstract-- Rootkit attacks are a serious threat to computer systems. Packaged with other malware such as worms, viruses and spyware, rootkits pose a more potent threat than ever be...
Arati Baliga, Liviu Iftode, Xiaoxin Chen
AIRWEB
2007
Springer
15 years 5 months ago
Transductive Link Spam Detection
Web spam can significantly deteriorate the quality of search engines. Early web spamming techniques mainly manipulate page content. Since linkage information is widely used in we...
Dengyong Zhou, Chris Burges, Tao Tao
ACSAC
2004
IEEE
15 years 3 months ago
Static Analyzer of Vicious Executables (SAVE)
Software security assurance and malware (trojans, worms, and viruses, etc.) detection are important topics of information security. Software obfuscation, a general technique that ...
Andrew H. Sung, Jianyun Xu, Patrick Chavez, Sriniv...