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» Cluster detection algorithm in neural networks
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SAC
2004
ACM
15 years 3 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
ICASSP
2011
IEEE
14 years 1 months ago
Robust distributed detection, localization, and estimation of a diffusive target in clustered wireless sensor networks
Robust operation of wireless sensor networks deployed in harsh environment is important in many application. In this paper, we develop a robust technique for distributed detection...
Sami Aldalahmeh, Mounir Ghogho
VLDB
2007
ACM
164views Database» more  VLDB 2007»
15 years 9 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 1 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 6 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel