Aiming at the problems of low real-time update efficiency of traffic data and privacy leakage of vehicle users in the Internet of Vehicles (IoV) data sharing, an IoV road traffic data sharing scheme based on signcryption and editable blockchain is proposed. Road-Side Unit (RSU) implements proxy signcryption for sharing data based on the authorization of the vehicle, ensuring the reliability of data and reducing the frequent interaction between vehicles and authorized map companies when sharing data. The editable blockchain is implemented by the chameleon hash function , and no new blocks need to be generated when updating data, thereby reducing the storage overhead caused by updating data. Combined with editable blockchain and fog computing server, the storage, sharing and update of traffic data are better realized. Security analysis shows that the proposed scheme satisfies the confidentiality, integrity, verifiability and unforgeability. Simulation results show that the proposed scheme has less communication overhead and computing overhead.

Since the signing of the Paris Agreement, “combating climate change and reducing carbon emissions” has emerged as a global focal point. The transportation industry, as a substantial contributor to carbon emissions, has posed a critical research challenge of efficiently and accurately quantifying vehicle carbon emissions while safeguarding vehicle privacy. Therefore, to realize lightweight conditional anonymous authentication, accurate statistics of vehicle carbon emissions and to inspire vehicle owners to travel with low carbon, this study proposes a lightweight conditional anonymous authentication scheme for vehicular carbon emissions environment. In this work, we introduce a lightweight certificate authorization mechanism for issuing vehicle certificates that avoids problems, such as key escrow, certificate management, and public key replacement attacks. Additionally, we combine the chameleon hash functions and elliptic curve digital signatures to devise an efficient anonymous identity authentication algorithm. This algorithm aims to authenticate vehicle anonymous identities while verifying the integrity of messages. Simultaneously, each vehicle possesses both long-term and short-term anonymity. Nevertheless, system administrators can trace short-term anonymity to obtain long-term anonymity. The lite certificate authority can use long-term anonymity to recover the real identity of vehicles, thus achieving conditional identity privacy. Furthermore, we use blockchain to record the carbon emissions of vehicles and achieve accurate carbon emissions statistics. To promote public participation and encourage low-carbon travel, we design an incentive mechanism allowing vehicles to sell their excess carbon quotas for financial gain. Finally, through theoretical analysis and experimental simulation, we demonstrate that the scheme has advantages in communication and computation.

In cloud storage, attribute-based keyword searchable encryption realizes multi-user fine-grained authorization access control and outsourcing data sharing. However, (1) resisting key regeneration is an urgent problem to be solved in practical applications of attribute-based keyword search ; (2) the general attribute-based keyword search scheme ignores the application scenario where multiple data owners jointly manage files. In addition, the interaction of data between intelligent terminals and cloud servers has become more frequent, leading to issues such as central load, transmission efficiency, and data privacy protection in cloud computing . To address the above issues, we propose an attribute-based searchable encryption scheme with the multi-data owner based on edge computing . In this scheme, the Pedersen ( k , n ) secret sharing protocol and the Reciprocal protocol are used to realize the common management and sharing of data by the multi-data owner to enhance data security . Secondly, the attribute set and identity information of each user are embedded into the private key to prevent key regeneration and resist user collusion attacks. Thirdly, edge computing is introduced, and part of the storage and decryption work is outsourced to edge nodes to reduce the computing load of users and data transmission bandwidth . Security proof and performance analysis show that the proposed scheme has strong security and practicability in multi-user sharing scenarios such as Online Education with multi-data owners.

The development of the Internet of Things (IoT) has given birth to new applications and services. Accordingly, because the IoT application system collects a large amount of data containing sensitive information, there are also new challenges in data security and privacy preservation. To locate the medical IoT (mIoT), this article proposes a multikeyword searchable encryption scheme based on attributes supporting the data privacy preservation and integrity verification of the electronic health files stored on the IoT cloud platform on the basis of ensuring the application business functions of mIoT: 1) to ensure data confidentiality and fine-grained search authorization, the attribute-based encryption mechanism is introduced to encrypt the symmetric key. Moreover, anonymous key generation tampers semitrusted center authority’s (CA) decryption of all ciphertexts of users and access policy is hidden to prevent access policy from leaking; 2) the convergence key is adopted to encrypt electronic health records (EHRs), thereby providing double verification of the correctness of the search results and partial decryption results; 3) a time-division mechanism is also established to provide the access validity of shared EHRs; and 4) fixed length ciphertext and outsourcing decryption mechanisms are used to reduce the calculation on the user side, in which the majority of the decryption calculations are done by the cloud server. Formal proofs and performance evaluation show that the proposed scheme can achieve data security, keyword security, integrity verification, hidden policy, and collusion resistance, and has high computational efficiency and search efficiency.