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» Intrusion Detection System Based on Multi-class SVM
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CN
2007
168views more  CN 2007»
13 years 7 months ago
Network anomaly detection with incomplete audit data
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
Animesh Patcha, Jung-Min Park
HICSS
2003
IEEE
184views Biometrics» more  HICSS 2003»
14 years 1 months ago
Content Based File Type Detection Algorithms
Identifying the true type of a computer file can be a difficult problem. Previous methods of file type recognition include fixed file extensions, fixed “magic numbers” stored ...
Mason McDaniel, Mohammad Hossain Heydari
CN
2004
256views more  CN 2004»
13 years 7 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
13 years 11 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
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,...