Abstract
As an important component of the industrial Internet of Things (IIoT), the smart factory uses IIoT and equipment-monitoring technology to collect data to reasonably arrange production. A large number of data is collected and uploaded to the IIoT cloud platform. However, the IIoT cloud platform is semi-trusted and has structural limitations and vulnerability, which makes it necessary to realize data dynamic security sharing and malicious users tracking. In this paper, we show that most recent work on this issue is still vulnerable to security threats at first. Then a blockchain-enabled dynamic and traceable data-sharing scheme for a smart factory is proposed. Blockchain performs the user authentication and stores the ciphertext index and public keys to avoid tampering with shared data. The tracking algorithm tracks malicious users and adds them to a revocation list embedded in the ciphertext. And the authority can flexibly select domain or user revocation as required. The LSSS access policy is hidden to protect user privacy, and the cloud server uses match test algorithm to detect whether users meet hidden access policy. Additionally, online-offline encryption and outsourced decryption improve the efficiency of the scheme where the ciphertext and the pairing operations required for decryption achieve constant size. A performance analysis shows that the scheme can resist a variety of collusion attacks, and simulations show that it outperforms current schemes.
