1244 search results - page 142 / 249 » Network Intrusion Detection System with Data Mart |
142
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EWSN
2008
Springer
16 years 4 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
135
Voted
AICCSA
2005
IEEE
15 years 10 months ago
2005
IEEE
Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
187
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SUTC
2006
IEEE
15 years 10 months ago
2006
IEEE
Abstract— Sensor networks are being increasingly deployed for collecting critical data in various applications. Once deployed, a sensor network may experience faults at the indiv...
149
Voted
ICC
2007
IEEE
15 years 11 months ago
2007
IEEE
Abstract— Many sensor networks (SN) use in-network aggregation to minimize the amount of data transmitted by sensors. Unfortunately, aggregation makes the network more vulnerable...
136
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ISW
2009
Springer
15 years 11 months ago
2009
Springer
The frequency and severity of a number of recent intrusions involving data theft and leakages has shown that online users’ trust, voluntary or not, in the ability of third partie...