Research on Intrusion Detection Algorithm of User Data based on Cloud Computing

Cloud computing is a new computing model, it will be large-scale computing resource interconnection were effectively integrated, and the computing resources available to users in the form of services. The user can at any time according to need to access a virtual computer and storage system using a broadband network, without the need to test the underlying anxiety complex implementation and management, greatly reduce the difficulty of realization and hardware investment users. Cloud computing effectively the actual resources and virtual service separation reduce all kinds of business service costs, improve the utilization of network resources. The main work of this paper includes: first introduced the current cloud environment security threat, attack and common intrusion detection technology, summarizes the advantages and disadvantages of the proposed at the present stage of intrusion detection system under the cloud environment. Then the research on the analysis of the fuzzy C mean clustering algorithm for intrusion detection exist deficiencies in a cloud environment, the improvement and optimization of its, and the improved algorithm for parallel implementation of map reduce, to solve the clustering problem of the magnanimity data.