Study of Intrusion Detection Based on Cloud Model
Wang Lon · Microcomputer Information · 2010
Because of the uncertainty of network behavior,the exiting intrusion detection systems almost have some flaws,such as the high false positive rate and high false negative rate. Cloud model is an effective tool of uncertainty reasoning in transforming between qualitative concepts and their quantitative expressions combined with fuzziness and randomness. Based on cloud model,a new cloud intrusion detection method(CIDM) was presented in this paper. Cloud reasoning generator cloud intelligently processes network behavior by means of uncertainty reasoning based on cloud knowledge database. The simulation results indicate CIDM can greatly improve the effectiveness of intrusion detection.