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» Using Active Learning in Intrusion Detection
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CSREASAM
2006
13 years 11 months ago
Gibraltar: A Mobile Host-Based Intrusion Protection System
Although mobile devices are globally omnipresent, security developments for these devices have not kept pace with their technological advancements. Thus, mobile devices are increa...
Grant A. Jacoby, Thadeus Hickman, Stuart Warders, ...
IDEAL
2010
Springer
13 years 8 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
CN
2007
106views more  CN 2007»
13 years 9 months ago
Learning DFA representations of HTTP for protecting web applications
Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting web server-based applications using in...
Kenneth L. Ingham, Anil Somayaji, John Burge, Step...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 3 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood