Since previous Multi-Authority Attribute-Based Encryption (MA-ABE) schemes limit each attribute to appear only once in the access structure, and suffer from superfluous computation overhead on repetitive encoding technique, an adaptively secure and unrestricted Multi-Authority Ciphertext-Policy ABE (MA-CP-ABE) scheme was proposed on prime order groups. Firstly, based on dual pairing vector space and linear secret-sharing schemes technology, an MA-CP-ABE scheme was constructed on prime order groups. Then, q-Parallel BDHE (Bilinear Diffie-Hellman Exponent) assumption was introduced to solve the problem that classical dual system encryption depends on a statistical hypothesis which requires each attribute to appear only once in the access structure, and a series of attacking games indistinguishable from each other was designed to prove that this scheme was adaptively secure in the standard model. Finally, performance analysis indicated that in comparison with another two adaptively secure MA-CP-ABE schemes on prime order groups, the speed of decryption was obviously improved by nearly 20%-40% and 0%-50% respectively as the number of participating attributes increasing, without considering the attribute repetition. This scheme is more efficient in real applications.
In view of the problem that verifying the conformance of e-government network structure, a conformance verification method for e-government network based on graph approximate matching was proposed. The method firstly abstracted the graph model of e-government network, then used the modular characteristic of network structure and k-hop neighboring relationship of vertices to realize extendible approximate graph matching which got all the similar structures between the two graphs. And then it proposed an improved graph similarity measure function by introducing the node importance factor and path distance attenuation factor so as to make the conformity assessment results more accurate. The experimental result shows that the method can accurately evaluate the conformance degree of e-government network structure, and fine-grainedly reflect the similarities or differences between the network structures which include all kinds of violations in the network topology and system deployment.