Secure Data Provenance in Internet of Things using Hybrid Attribute based Crypt Technique

Abstract

In the new era of digital technology, various new applications are developed every day based on Internet of Things where the devices are interconnected between them. When the application based on IoT are used for transferring sensitive and critical data then adequate amount of confidentiality and privacy is needed also dependability is developed based on the assurance and verification of correctness and integrity of the data used. In order to address these necessary requirements of the system, Internet of Things system could be provided with data ownership and mechanisms of data provenance to maintain the data on lineage. However, to make IoT systems dependable and secure, the data provenance has to be protected sufficiently against unauthorized access and tampering of data. In this paper, a framework is proposed to secure the data provenance in Internet of Things systems using blockchain and access control policies. This work is implemented with hybrid attribute based encryption and the results are analyzed based on computational cost and throughput of encryption and decryption and also strength of the key is calculated according to avalanche effect. The experimental results prove that the proposed system is with reduced computational cost, high throughput. Setup time cost and secret key time cost are analyzed based on the access control policy tree depth. Key generation time is analyzed based on number of users. Decryption time cost is analyzed based on the no. of attributes to be decrypted. Ciphertext file size is analyzed based on the length of the plain text. According to the avalanche effect, the calculated strength of the key is good and above 99%.