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» Machine Learning in Infrastructure Security
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IMC
2009
ACM
14 years 1 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
ITICSE
2009
ACM
14 years 1 months ago
Xen worlds: leveraging virtualization in distance education
The Xen Worlds project at Iowa State University was designed to provide a virtualized lab environment for the Information Assurance program. The large number of off-campus student...
Benjamin R. Anderson, Amy K. Joines, Thomas E. Dan...
ACSAC
2006
IEEE
14 years 1 months ago
How to Automatically and Accurately Sandbox Microsoft IIS
Comparing the system call sequence of a network application against a sandboxing policy is a popular approach to detecting control-hijacking attack, in which the attacker exploits...
Wei Li, Lap-Chung Lam, Tzi-cker Chiueh
NIPS
2008
13 years 8 months ago
Breaking Audio CAPTCHAs
CAPTCHAs are computer-generated tests that humans can pass but current computer systems cannot. CAPTCHAs provide a method for automatically distinguishing a human from a computer ...
Jennifer Tam, Jirí Simsa, Sean Hyde, Luis v...
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 8 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...