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HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
16 years 13 hour 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...
DSN
2005
IEEE
16 years 10 days ago
The Effects of Algorithmic Diversity on Anomaly Detector Performance
Common practice in anomaly-based intrusion detection assumes that one size fits all: a single anomaly detector should detect all anomalies. Compensation for any performance short...
Kymie M. C. Tan, Roy A. Maxion
RAID
2005
Springer
16 years 6 days 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,...
ISCC
2005
IEEE
107views Communications» more  ISCC 2005»
16 years 9 days ago
FTSE: The FNP-Like TCAM Searching Engine
As the Internet grows at a very rapid pace, so does the incidence of attack events and documented unlawful intrusions. The Network Intrusion Detection Systems (NIDSes) are designe...
Rong-Tai Liu, Chia-Nan Kao, Hung-Shen Wu, Ming-Cha...
ICARIS
2007
Springer
16 years 26 days ago
Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection
Abstract. In this conceptual paper, we report on studies and initial definitions of an immune-inspired approach to temporal anomaly detection problems, where there is a strict temp...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....