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» Using Active Learning in Intrusion Detection
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
15 years 11 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
CCS
2003
ACM
15 years 3 months ago
Enhancing byte-level network intrusion detection signatures with context
Many network intrusion detection systems (NIDS) use byte sequences as signatures to detect malicious activity. While being highly efficient, they tend to suffer from a high false...
Robin Sommer, Vern Paxson
ICASSP
2009
IEEE
15 years 5 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin
HT
2005
ACM
15 years 4 months ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
SSS
2007
Springer
130views Control Systems» more  SSS 2007»
15 years 4 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...