Distributed type big data system risk recognition method based on LSA-GCC

Abstract

The invention discloses a distributed type big data system risk recognition method based on LSA-GCC which comprises the first step of establishing an LSA-GCC model, the LSA-GCC model is used for mapping a data set to a semantic space, and classifying the data set by a clustering algorithm, extracting a specifically classified prototype vector from clustering results, giving a certain weight to each classification, and establishing an initial prototype vector model; the second step of conducting feedforward recognition to a risk through an LSA-SAM safety recognition model, the LSA-SAM safety recognition model conducts information system risk evaluation based on the LSA-GCC model, after data to be evaluated are mapped to the same semantic space, calculating the prototype vector of the each classification and obtaining similarity belonging to the classification, obtaining a cumulative sum of the similarity and the weight of the corresponding classification, finally obtaining risk value of the data to be evaluated by averaging, namely obtaining the risk value at an arrival moment of the data.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and relates to a risk assessment research for a service-oriented cloud computing system, specifically a LSA-GCC (Latent Semantic Analysis-Generalized Clusterbased Classifier, latent semantic analysis and generalized clustering classifier) risk identification method. Background technique [0002] In recent years, the rapid development of cloud computing technology has become the focus of industry, academia, government and other circles. The essence of cloud computing is a dynamic resource combination and service technology, and a large number of virtualized components form a resource pool to allocate computing tasks, so that users can obtain cloud computing services on demand. Cloud computing is also a comprehensive application of parallel computing, utility computing, grid computing and virtualization technology. According to the type of service, it is mainly divided into three hierarchi...

AI Technical Summary

Problems solved by technology

Even though the existing WebService security technology is mature and can solve some security problems, the effect of WebService oriented to the cloud computing environment is not satisfactory.

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