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An Efficient and Secure Information Dissemination Framework for Vehicular Ad Hoc Networks with Edge Intelligence
Ying He, Yuan Li, Guang Zhou and Zhong Ming

Vehicular ad hoc networks (VANETs) have attracted great interest from both academia and industry. Information dissemination among vehicles is an important application in VANETs with edge intelligence. Defining “appropriate vehicle” and protecting vehicle privacy in information dissemination is challenging. In this paper, we present an efficient and secure information dissemination framework built on a new ciphertext-policy attribute-based encryption (CP-ABE) scheme. The distinct features of this novel framework are as follows. First, the number of pairing operations used by the decryption algorithm in our framework is independent of the number of input attributes. Therefore, our framework can greatly reduce the computational burden. Second, the group used in our paper is generated based on a novel curve, which can bring higher security to VANETs. Third, we use a short-signature technology to reduce the computation overhead of the key generation process in the vehicle rental scenario. Performance evaluation shows the effectiveness of the proposed framework.

Keywords: Vehicular ad hoc networks (VANETs), information dissemination, access control, attribute-based encryption

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