Application of an Improved Fuzzy Reasoning Petri Nets Algorithm in IDS

Abstract:

Petri net is a good tool to express production rules. To address the problem that needs to decrease false alarm rate in Intrusion Detection System (IDS), an improved fuzzy Petri net reasoning algorithm with weight factor was presented and be applied in IDS. The algorithm takes into account weight of proposition in rules and improves accuracy of detection. The reasoning process was completed with matrix computation manner based on MYCIN confidence method. It has parallel reasoning ability and improved speed of reasoning. An example illustrated correctness and rationality of improved algorithm in IDS.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 2321-2325
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.2321
• Online since: January 2012
• Authors: Li Ping Yang
• Keywords: Fuzzy Reasoning, Intrusion Detection, Petri, Weighted Factor

References

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DOI: 10.1109/41.334574