88 search results - page 10 / 18 » Trust-Based Classifier Combination for Network Anomaly Detec... |
TIFS
2008
14 years 9 months ago
2008
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
SP
2008
IEEE
15 years 4 months ago
2008
IEEE
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
IAT
2007
IEEE
15 years 3 months ago
2007
IEEE
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
ICC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— Measurements have shown that network path failures occur frequently in the Internet and physical link failures can cause network instability in large scale and severity...