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» Utilizing Neural Networks For Effective Intrusion Detection
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ACSAC
2006
IEEE
13 years 11 months ago
Specification-Based Intrusion Detection in WLANs
Wireless networking technologies based on the IEEE 802.11 series of standards fail to authenticate management frames and network card addresses and suffer from serious vulnerabili...
Rupinder Gill, Jason Smith, Andrew Clark
ACSW
2006
13 years 9 months ago
Synapse: auto-correlation and dynamic attack redirection in an immunologically-inspired IDS
Intrusion detection systems (IDS) perform an important role in the provision of network security, providing real- time notification of attacks in progress. One promising category ...
David Duncombe, George M. Mohay, Andrew Clark
ISI
2008
Springer
13 years 7 months ago
Analysis of cyberactivism: A case study of online free Tibet activities
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Tianjun Fu, Hsinchun Chen
ASIAN
2004
Springer
117views Algorithms» more  ASIAN 2004»
14 years 28 days ago
The Feature Selection and Intrusion Detection Problems
Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents o...
Andrew H. Sung, Srinivas Mukkamala
ICNC
2005
Springer
14 years 1 months ago
An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending
In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and...
Álvaro Herrero, Emilio Corchado, José...