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This paper studied the relationship between sigma-type attribute-based identification and sigma-type identity-based identification and proposed a generic construction of sigma-type decentralized attribute-based identification. The generic construction used the smooth secret sharing scheme to transform the sigma-type identity-based identification into the decentralized attribute-based identification. Using the reduction method, this paper proved the security of the proposed construction. This paper presented a concrete instance of sigma-type decentralized attribute-based identification obtained by the proposed construction and compressed it with the previous schemes. The performance analysis shows that this scheme is better in both data length and computation cost. Furthermore, this scheme is decentralized, which overcomes the bottleneck problem and security weakness of the single attribute authority system, and then is more applicable. [ABSTRACT FROM AUTHOR]

The number of low-frequency sampling traffic trajectory data is growing explosively in big data era. Map matching techniques play an essential role in taxi pick-up hot spot and route recommendation, which can help accurately and efficiently matching low-frequency floating car data from complex road networks. In view of the aforementioned discussion, this paper proposed an improved algorithm based on curve fitting. This algorithm filled missing trajectory data and road network data by interpolation and mean methods, employed Geohash technology to store and search road network data and trajectory data, took into full consideration the factors of the speed of vehicles and road speed limit, used the backward vector of trajectory point and road segment vector to analyze the candidate road segments, and designed a comprehensive evaluation function to obtain the optimal matching results. The experimental results show that the proposed curve-fitting algorithm has a higher matching accuracy and faster time efficiency when compared with the traditional vertical projection and curve -fitting algorithms. [ABSTRACT FROM AUTHOR]

To expand the application field of designated confirmer signature, this paper introduced a concept of decentralized attribute-based designated confirmer signature (DABDCS) by combing the concepts of attribute-based and decentralization with designated confirmer signatures. It presented the formal definition and security model of DABDCS, and proposed a concrete scheme. The scheme was based on Cramer et al. 's witness hiding protocol, in which Schnorr identification was chosen as its basis L.: protocol, and Shamir threshold scheme as its secret sharing scheme. Based on the threshold signature scheme, it proposed a decentralized attribute-based designated confirmer signature scheme without bilinear pairings, and proved its securities under the random oracle model. The proposed scheme can be applied to multiple-party communication environments, such as electronic bidding and so on. [ABSTRACT FROM AUTHOR]

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