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» An Unsupervised Clustering Algorithm for Intrusion Detection
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IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 1 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
AINA
2010
IEEE
12 years 11 months ago
A Novel Cross Layer Intrusion Detection System in MANET
— Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection techno...
Rakesh Shrestha, Kyong-Heon Han, Dong-You Choi, Se...
FLAIRS
2007
13 years 9 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...
FQAS
2004
Springer
126views Database» more  FQAS 2004»
14 years 26 days ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
IWCMC
2006
ACM
14 years 1 months ago
System approach to intrusion detection using hidden Markov model
In an era of cooperating ad hoc networks and pervasive wireless connectivity, we are becoming more vulnerable to malicious attacks. Many of these attacks are silent in nature and ...
Rahul Khanna, Huaping Liu