IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Security audit trail analysis using inductively generated predictive rules
Proceedings of the sixth conference on Artificial intelligence applications
A survey of intrusion detection techniques
Computers and Security
Fundamentals of computer security technology
Fundamentals of computer security technology
Network and Internet security
Classification and detection of computer intrusions
Classification and detection of computer intrusions
Intrusion detection systems and multisensor data fusion
Communications of the ACM
An introduction to intrusion detection
Crossroads - Special issue on computer security
Intrusion detection in wireless ad-hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Security Engineering: A Guide to Building Dependable Distributed Systems
Security Engineering: A Guide to Building Dependable Distributed Systems
A taxonomy of computer attacks with applications to wireless networks
A taxonomy of computer attacks with applications to wireless networks
Implementing IDS Management on Lock-Keeper
ISPEC '09 Proceedings of the 5th International Conference on Information Security Practice and Experience
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Primary facets of network intrusion detection systems include the collection, management, and analysis of intrusion data. In this paper, we provide an overview of an ongoing project at Radford University to investigate new and innovative approaches in these critical areas. In particular, we discuss using small, low cost embedded Linux devices as mobile, highly configurable, and collaborative sensors for the collection of the data. Since the data can be in massive quantities and its collection burdensome to the operational network, we also present the use of a wireless network for the transmission of the data to a separate server or management application for analysis, effectively offloading the data from and reducing the burden on the operational network. Finally, effective techniques for analysis need to be identified that will reduce false positive and false negative determinations of intrusions. We introduce our work in data mining techniques which seeks to improve accuracy in analysis.