Efficient Searchable Attribute-Based Encryption Scheme for Cloud-Assisted Industrial IoT
Cloud storage can effectively store and manage the massive data generated by the industrial Internet of things,but it lacks a flexible and secure access control mechanism,and the uploaded encrypted data is difficult to retrieve efficiently.To solve these problems,this paper proposed an efficient and secure searchable attribute-based encryption scheme for the Industrial Internet of Things,which had the functions of privacy protection,multi-keyword search and data verification.The scheme used symmetric encryption and attribute-based encryption to encrypt plaintext in an online/offline encryption manner,and used XOR filters and random secret values to hide some access policies,further improving the security of industrial data.On the other hand,based on polynomial equations,multi-keyword efficient search supporting subset queries was implemented.In addition,the integrity of data in cloud storage was verified by signature encryption.The security proof proves that the proposed scheme can resist chosen plaintext attacks under the assumption of DBDH difficulty problem.Theoretical analysis and simulation experimental results show that the scheme has higher efficiency and more comprehensive functions than the comparative scheme in encryption,trapdoor generation and search stages.
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