Crowdsourcing application, deemed as a key evolution on the way to vehicular networking, has great potential to provide real-time services. However, existing cloud-based vehicular networking cannot support real-time data transmission with wasting massive bandwidth resources. This paper studies the crowdsourcing application in edge-assistant vehicular networking. To improve the real-time demand of data transmission, we propose the E-node of that owns the learning and semantic analysis abilities. Then we analyze two data transmission scenarios of crowdsourcing for collected data: road map uploading, traffic accident and traffic flow. On the other hand, to address the privacy leakages in the process of data aggregation and data distribution, we separately design time-tolerance anonymous privacy protection algorithm and k − 1 location-offset privacy protection algorithm. Finally, we conduct extensive experiments to verify the effectiveness of our proposed privacy protection algorithms, including time delay, offset probability, privacy leakage probability and accuracy.

Vehicular Ad Hoc Network (VANET) is an important foundation of intelligent transportation system and is widely used in traffic management, automatic driving, and road optimization. With the gradual popularization and further development of VANET, a large amount of VANET data has been produced. However, it poses huge challenges to the security and privacy when using VANET data provides services for users. In this paper, combining the technologies of blockchain and ciphertext-based attribute encryption (CP-ABE), we propose a fine-grained access control scheme for VANET data based on blockchain (FADB). In FADB, we employ the blockchain to replace the third-party service providers for user identity management and data storage. And different VANET data access rights can be established according to user attribute. By improving the CP-ABE, the lightweight VANET devices can outsource complex encryption and decryption operations to powerful RSUs and further improve the efficiency of data access. Final, we carry out a series of simulation tests and security analysis, proving that the FADB can provide effective data security and low performance overhead.

With the rapid development of Internet of Things (IoT), more and more devices are connected to IoT, leading to an exponential increase in IoT data. However, two problems stand in the way of the further development of IoT. First, IoT data is uploaded directly to the cloud, and the service provider obtains huge profits by analyzing IoT data. However, users can't get benefits, and they have to bear the risk of privacy leakage. Second, centralized storage limits data sharing, which can slow the development of IoT. To solve these problems, this paper proposes an architecture of Blockchain-based Distributed IoT Data Transaction (BDDT). In our proposed BDDT system, users can get benefits by selling their own data, and the service providers buy users’ data to gain access. Furthermore, all operations of IoT data transactions are recorded in blockchain. It ensures the traceability and irreversible modification of data transactions. Final, the experimental results prove that the BDDT system has a good performance and excellent safety.

With the breakthroughs in sensor technology and internet of things, Vehicular Ad Hoc Network (VANET) is developing into a new generation. The technical challenges of current VANET are decentralized architecture deployment and privacy protection. Since the blockchain owns the characteristics of being decentralized, distributed, collective maintenance and non-tampering, this paper designs a novel decentralized architecture using blockchain technology, which is called blockchain-based VANET. The blockchain-based VANET involves four major stages: blockchain set-up, registration of vehicles, SBMs upload, and blockchain record. It can effectively address the problems of centralization and mutual distrust between entities in current VANET. For protecting identity and location privacy, we propose UGG, IPP and LPP algorithms with the way of dynamic threshold encryption and k-anonymity unity in the stage of SBMs upload of blockchain-based VANET. To quantify the availability of k-anonymity unity, we propose two indicators: connectivity and average distance. Extensive simulations have been conducted to validate the effectiveness of blockchain-based VANET. We analyze the simulation results from four aspects: system time, average distance, connectivity, and privacy leakage. The simulation results show that our proposed architecture performs better in terms of processing time than current architectures. Furthermore, our proposed architecture shows its superior in the aspect of protecting identity and location privacy.