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Content Provider | IEEE Xplore Digital Library |
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Author | Ye Wang Abdel-Wahab, H. |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA (Ye Wang; Abdel-Wahab, H.) |
Abstract | Intrusion detection system (IDS) is one of the most important security protection mechanisms. Although many IDS commercial products and research projects exist, we still face a serious problem under current systems, a high false positive rate. We observe that current network IDSs don't make full use of the information available from different levels and points of the protected network, and we argue that the utilization of this information is essential. We introduce a new framework for network IDSs based on a network context awareness (NCA) layer as an additional data source to IDSs. We describe the architecture of NCA and methods of how to extract network information into NCA. A correlation engine is presented that works on alerts generated by a specific IDS system (Snort) and NCA information. Our experimental results using simulated attacks show that our proposed solution significantly reduces the false alarm rate and has the potential to greatly improve the efficacy of detecting novel attacks. |
Starting Page | 463 |
Ending Page | 468 |
File Size | 174239 |
Page Count | 6 |
File Format | |
ISBN | 0769523730 |
ISSN | 15301346 |
DOI | 10.1109/ISCC.2005.6 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-06-27 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Intrusion detection Protection Face detection Data mining Humans Context awareness Computational modeling Statistics Computer science Computer security |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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