Research On Vehicular Ad Hoc Network Applications And Privacy-preserving Mechanism Based On Aggregate Signcryption In Fog Computing

With the continuous development of vehicular ad hoc network and cloud computing technology,vehicular computing capacity has been greatly improved,but the problems of time delay and high computing cost still exist.Fog computing has the characteristics of supporting geographic distribution,low latency and wireless access,which can effectively reduce the burden of centralized cloud servers.While fog computing provides localization services for vehicular ad hoc network applications,it also brings many new challenges to security and privacy.This paper focuses on the security and privacy issues faced by vehicular ad hoc network in fog computing environment,and proposes corresponding solutions according to the new requirements in different application scenarios.The main work of this paper is as follows:1.In the scenario of cloud-based road condition monitoring,the root authority needs to monitor real-time road conditions with the help of a cloud server,so that it could make responses to the emergency in time.However,when many vehicles transmit large amounts of real-time data to a remote centralized cloud server,it causes time delays and elevated bandwidth costs.At the same time,it is also a key issue to realize identity traceability while protecting the true identity of the vehicle.In view of the above problems,this paper proposes a privacy-preserving traceable road condition monitoring scheme based on aggregate signcryption in fog computing,which greatly reduces latency and bandwidth by adding fog servers between the client and the cloud.First,we use certificateless aggregate signcryption technology to realize aggregate verification of multiple messages,which greatly improves the efficiency of transmission and verification.Then,without compromising the confidentiality of data,the cloud server can perform the equality test on ciphertexts to distinguish road condition messages from different vehicles in ciphertext format for the same area.In addition,we use vehicle pseudonyms to guarantee identity privacy while achieving traceability.Finally,we analyze the security,functionality and efficiency of the scheme through security proof and comparative experiments.2.In the application scenario of road rescue service,we consider the anonymity and traceability of vehicle identity,the high efficiency of message verification and the security of data storage in view of the shortcomings of the existing schemes and technologies.This paper proposes a privacy-preserving road rescue scheme based on consortium blockchain and aggregate signcryption in fog computing,which not only protects the privacy of vehicle users,but also effectively reduces the delay of upload and verification.First,the scheme uses the decentralized consortium blockchain to break the centralized data management of traditional vehicular ad hoc network applications and prevent single-point collapse and data monopoly.Then,we use the binary search method to retrieve the valid signatures,which improves the efficiency of re-verification when the aggregation verification fails.In addition,we add a fog server layer between user layer and consortium blockchain layer,and adopt the Ripple consensus mechanism to improve the efficiency of data verification and the security of data storage.Finally,we demonstrate that the scheme is secure,feasible,and efficient through security and performance analysis.