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» Intrusion Detection: A Bioinformatics Approach
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IEEEIAS
2009
IEEE
14 years 5 months ago
Detecting Insider Attacks Using Non-negative Matrix Factorization
—It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicate...
Jan Platos, Václav Snásel, Pavel Kr&...
SIGCOMM
2006
ACM
14 years 5 months ago
Detecting evasion attacks at high speeds without reassembly
Ptacek and Newsham [14] showed how to evade signature detection at Intrusion Prevention Systems (IPS) using TCP and IP Fragmentation. These attacks are implemented in tools like F...
George Varghese, J. Andrew Fingerhut, Flavio Bonom...
CN
2004
256views more  CN 2004»
13 years 10 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...
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 4 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
RAID
2005
Springer
14 years 4 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,...