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RAID
2005
Springer
14 years 1 months ago
FLIPS: Hybrid Adaptive Intrusion Prevention
Intrusion detection systems are fundamentally passive and fail–open. Because their primary task is classification, they do nothing to prevent an attack from succeeding. An intru...
Michael E. Locasto, Ke Wang, Angelos D. Keromytis,...
CHI
2009
ACM
14 years 8 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop
KSEM
2009
Springer
14 years 2 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
ACSAC
2007
IEEE
14 years 2 months ago
Limits of Static Analysis for Malware Detection
Malicious code is an increasingly important problem that threatens the security of computer systems. The traditional line of defense against malware is composed of malware detecto...
Andreas Moser, Christopher Kruegel, Engin Kirda
ICMLA
2004
13 years 9 months ago
LASSO: a learning architecture for semantic web ontologies
Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
Christopher N. Hammack, Stephen D. Scott