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This paper describes a forensic logging system that collects fine-grained evidence from target servers and networks. For the logging system, we developed a TCSEC-B1 level secure operating system and a dedicated network processor that collects network traffic. The logging system is also capable of protecting servers from malicious attacks as well as allowing security managers to obtain forensic evidences...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
Vehicular ad hoc networks (VANETs) have recently received considerable attention. To support VANET-based applications, it is important to disseminate data from an information source (data center) to many vehicles on the road. Although disseminating data from a server to a large number of clients has been studied in the database community and the network community, many unique characteristics of the...
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