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Study On Technology Of Access Control Of Attribute-based Encryption And Emergency Decision Of Shared Data Of High-speed Railway

Posted on:2018-04-15Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2348330512993058Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
Cloud computing has become the most popular way of mainstream computing because of the advantage in big data management.So Cloud storage technology is the best choice for storing large scale data,and safety problem is the most important problem in cloud storage.According to the research of high-speed information shared in cloud platform and the security requirement of sharing data,the following studies are carried out in this paper:Firstly,this paper analysis the shared data storage safety requirements of high-speed railway on the cloud platform,put forward different security strategies point at different categories of data,and focuses on researching the encryption method of secret data.Meanwhile,this paper describes the characteristics of the existing encryption methods,which include application in high-speed railway data of attribute based encryption(ABE)algorithm,relative merits and the existing questionSecondly,this paper introduces the basic knowledge of cloud computing,the attribute encryption scheme,rough set theory and produces the improved scheme about ABE and changes the representation method of access structure into direct construction of shared generation matrix.And this paper realizes the function of revoke at the attribute level by introducing the concept of attribute group.Thirdly,through analyzing the scenario of high-speed railway emergency,this paper establishes a hierarchical network model for emergency scenarios.At the same time,this paper comes up parallel Bayesian network reduction model based on scenario analysis.The main work contains designing map(),reduce(),call_job,main program and establishing Hadoop platform,realizes the parallel operation of knowledge reduction algorithm based on information entropy by doing these work.Using the Bayesian networks for decision-making and reasoning,the results of reduction are verified after using Bayesian simulation software Netica model.Finally,this paper designs an application system of encryption and decryption,and tests time performance of encryption algorithm of high-speed data under cloud storage,analysis time and space overhead of our algorithm.
Keywords/Search Tags:Hadoop, High-speed Railway, Attribute Based Encryption, Knowledge Reduction, Bayesian Network
PDF Full Text Request
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