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» Network Intrusion Detection Using Genetic Clustering
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AAAI
2006
13 years 10 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
14 years 3 months ago
Experiences on Designing an Integral Intrusion Detection System
Network Intrusion Detection Systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually foll...
Yoseba K. Penya, Pablo Garcia Bringas
ADBIS
2006
Springer
200views Database» more  ADBIS 2006»
14 years 2 months ago
Anomaly Detection Using Unsupervised Profiling Method in Time Series Data
The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
Zakia Ferdousi, Akira Maeda
INFOCOM
2007
IEEE
14 years 2 months ago
TriBiCa: Trie Bitmap Content Analyzer for High-Speed Network Intrusion Detection
Abstract—Deep packet inspection (DPI) is often used in network intrusion detection and prevention systems (NIDPS), where incoming packet payloads are compared against known attac...
N. Sertac Artan, H. Jonathan Chao
JAIHC
2010
205views more  JAIHC 2010»
13 years 7 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi