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The paper proposed a new model by applying bio-inspired theory into intrusion detection system in cloud computing. Dendritic Cell algorithm (DCA) based on Danger Theory get involved in the model designation in allusion to the existing problem, high false negative rate, low detection efficiency, low real-time process, and lack of adaptive of the unknown aggressive behavior for nowadays detection mechanisms. Combing the pertinent knowledge of machine learning theory, then to design one improved bio-inspired intrusion detection system model in cloud computing based on machine learning. Finally we introduce our system module as well as the detailed work processes.

The Designation of Bio-Inspired Intrusion Detection System Model in Cloud Computing Based on Machine Learning