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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haslum, K. Abraham, A. Knapskog, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Center for Quantifiable Quality of Service in Commun. Syst., Norwegian Univ. of Sci. & Technol., Trondheim (Haslum, K.; Abraham, A.; Knapskog, S.) |
| Abstract | Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPPS sensors, instead of merely preventing the attackers or blocking traffic, we propose a fuzzy logic based online risk assessment scheme. This paper propose a Hierarchical Neuro-Fuzzy online Risk Assessment (HiNFRA) model to aid the decision making process of a DIPPS. The fine tuning of fuzzy logic based risk assessment model is achieved using a neural network learning technique. Preliminary results indicate that the neural learning technique could improve the fuzzy controller performance and make the risk assessment model more robust. |
| Starting Page | 631 |
| Ending Page | 636 |
| File Size | 296657 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769531366 |
| DOI | 10.1109/AMS.2008.120 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-13 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy logic Mobile agents Hidden Markov models Intrusion detection Humans Telecommunication traffic Traffic control Risk management Monitoring Centralized control |
| Content Type | Text |
| Resource Type | Article |
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