Concerning to the problem of preserving users' identity privacy during the process of authentication in Vehicular Ad Hoc NETwork (VANET), a novel anonymous authentication scheme without cryptography based on the theory of linear equation was proposed. The scheme constructed an anonymous authentication model based on the basic theory of solving linear equations without employing any symmetric or asymmetric cryptosystem, which avoided disclosure of the identity information during the process of anonymous authentication. Besides, the proposed scheme not only satisfied the requirement of anonymous authentication between On Board Unit (OBU) and Road Side Unit (RSU), but also ensured the anonymous authentication among OBU. The results of the security and complexity analysis show that the proposed scheme is secure and efficient, and it needs low costs of computation and communication.
It is difficult for users to find the needed items from a large-scale project resource repository because the project resources in it are disordered, so a parallel fuzzy partition algorithm based on MapReduce was proposed. The algorithm firstly abstracted and standardized characteristic attributes of original project resource. Then a similarity matrix was established based on the standardized characteristic attributes of the project, and it was segmented by using block matrix. MapReduce was used to process the block matrix and merge the results. Finally, the algorithm obtained the partition results according to the threshold. The contrast experiment among the proposed algorithm, K-means algorithm and genetic algorithm shows that the proposed algorithm has higher accuracy and recall, it can achieve better speedup in large-scale data calculation and divide project resources effectively and accurately.