Verifiable multi-authority attribute based encrypti on scheme with different permissions
Xueyan Liu, Zhanming Li, Zhanjun Hao, Qiang Zhang · 2014
In this paper, we study the traffic information gra nular computing theory and build traffic informatio n fusion model, framework and implementation program based on granu lar computing. We raise uncertainty reduction algor ithms for traffic flow prediction and congestion recognition algorithms based on granular computing theory, whic h will provide new ideas and methods in the complex decision makin g under uncertainty problems of the transportation systems. In an attribute based encryption scheme, each user is identified by a set of attributes, which are used tdetermined ecryption ability for each ciphertext. On the base of attribute based encryption and symmetric encrypt ion algorithm, it proposes a verifiable multi-authority attribute bas ed encryption scheme. In our scheme, access control permission is divided into two kinds: Read and Write for the firs t time. An encryptor can easily deal with this prob lem by using two different secret keys. When a user wants to get Rea d permission, he just needs to go to some authoriti es, yet not all. We also provide a verification scheme that ensures the integrity of data and realness of data sources. Th e encryptor generates a signature while encryption, the user ca rries out verification with given signature and the decrypted message. The scheme not only enhances the confident iality of data, but also supports more flexible and more fine-grained access control strategy.