Journal of Jilin University Science Edition ›› 2020, Vol. 58 ›› Issue (2): 321-328.
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HUANG Xidai
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Abstract: Aiming at the problem that the current fuzzy region judgment algorithm in network intrusion did not consider the selfadaption and faulttolerance of the algorithm, and had the disadvantage of poor judgment efficiency and stability, the author proposed a fuzzy region judgment algorithm in network intrusion based on multilayer logic structure. Firstly, the fuzzy region judgment algorithm based on multilayer logic structure was adopted, the selfadaption and faulttolerance were taken as constraints, and the fuzzy region judgment results in network intrusion were obtained by calculating the feedback solutions of different layers of the algorithm. Secondly, based on the judgment results, the alarm synthesis algorithm was used to synthesize many identical alarms into an alarm to prevent the formation of alarm flood and obtain the best fuzzy region judgment results. The experimental results show that the total average detection rate and false alarm rate of the proposed algorithm are 9313% and 097% respectively, and the average time is 1013 s, which shows that the proposed algorithm has remarkable advantages in judging the fuzzy area of network intrusion.
Key words: network intrusion, fuzzy area, judgement, multilayer logic structure, alarm synthesis, alarm flood
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HUANG Xidai. Fuzzy Region Judgment Algorithm in Network Intrusion[J].Journal of Jilin University Science Edition, 2020, 58(2): 321-328.
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