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ASPLOS
2010
ACM
15 years 8 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
SSS
2007
Springer
130views Control Systems» more  SSS 2007»
15 years 7 months ago
Decentralized Detector Generation in Cooperative Intrusion Detection Systems
We consider Cooperative Intrusion Detection System (CIDS) which is a distributed AIS-based (Artificial Immune System) IDS where nodes collaborate over a peer-to-peer overlay netwo...
Rainer Bye, Katja Luther, Seyit Ahmet Çamte...
JMLR
2010
163views more  JMLR 2010»
14 years 8 months ago
Detection of Server-side Web Attacks
Web servers and server-side applications constitute the key components of modern Internet services. We present a pattern recognition system to the detection of intrusion attempts ...
Igino Corona, Giorgio Giacinto
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
15 years 6 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...
CVPR
2007
IEEE
15 years 5 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia