An efficient integrity based multi-user blockchain framework for heterogeneous supply chain management applications

AbstractMost of the traditional cloud-based applications are insecure and difficult to compute the data integrity with variable hash size on heterogeneous supply chain datasets. Also, cloud storage systems are independent of integrity computational and data security due to structured data and computational memory. As the size of the cloud data files is increasing in the public and private cloud servers, it is difficult to provide strong data security due to file format and high dimensionality. The computational time and storage space of the conventional attribute-based encryption and decryption models are high during the data integrity verification in the traditional blockchain frameworks. This paper implements a hybrid variable size data integrity algorithm on the heterogeneous cloud supply chain data files for the strong data encryption and decryption process. This work implements an optimized blockchain framework using the advanced heterogeneous integrity computation approach and integrity policy-based attribute encryption and decryption approach for better cloud data security. Experimental results proved that the proposed integrity-based encryption model has better efficiency than the traditional integrity-based encryption frameworks on cloud heterogeneous data types.KEYWORDS: Cloud data securityintegritysupply chain datablockchainattribute-based encryption Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsMani Deep KarumanchiMani Deep Karumanchi is an Assistant Professor in the Department of Computer Science and Engineering at Bapatla Engineering College, Bapatla. He received his M.Tech.(Computer Science and Engineering) from Acharya Nagarjuna University, Guntur and B.Tech.(Computer Science and Engineering) from JNTUK, Kakinada. He is currently pursuing his Ph.D. as a part-time scholar at Puducherry Technological University, Puducherry. His interested research areas are Blockchain, Supply Chain Management, Cloud Computing, Data Security in Cloud, Cryptography and Network Security.J. I. SheebaJ. I. Sheeba has completed her B.E, M.E in Computer Science and Engineering. She has completed her Ph.D. in Text mining area from Pondicherry University. Presently she is working as an Assistant Professor in the Department of Computer Science and Engineering, Puducherry Technological University and has more than 18 years of teaching experience. She has published papers in many international journals and conferences. Her research interest includes Data mining, soft computing, Information Security, Cloud Computing and Blockchain.S. Pradeep DevaneyanS. Pradeep Devaneyan has completed his B.E Mechanical Engineering (Karunya Institute of Technology), M.E CAD/ CAM (ArulmiguKalasalingam College of Enginering and Technology) and Ph.D. from Pondicherry University. At present working as Professor in Sri Venkateshwaraa College of Engineering and Technology, Puducherry and has 18 years of teaching experience. He has published many papers in reputed journals and conferences.