A novel optimal key generation scheme in attribute based encryption for secure blockchain-based data sharing
V. Akshaya Keerthi, V. Vijayalakshmi, G. Zayaraz · 2025
With the rapid growth in the information and communication sector, sharing data safely and efficiently is becoming increasingly urgent. Blockchain technology paves way for the secure, transparent and trusted sharing of digital assets without third party intervention to manage the data. Nowadays, this technology is extensively adopted in various sectors such as Industrial Internet of Things (IIoT), unmanned aerial vehicle (UAV), supply chain management, blue economy and healthcare. Blockchain adoption in real time is not straightforward, because it encounters data leakage problems, storage issues, data query performance, etc. To address these issues, a novel encryption model for blockchain technology equipped with InterPlanetary File System (IPFS) is proposed. Conventional attribute-based encryption (ABE) technique is prone to key abuse and key escrow attacks. Hence, to handle the above issues, a hybrid bio-inspired optimization algorithm is adopted for secure key generation in ABE. It exploits the advantages of green anaconda (GA) and Improved black widow optimization (IBWO) algorithms. It provides an additional layer of transaction encryption to the conventional blockchain architecture to overcome the data leakage problem. Thus, the user data is encrypted using enhanced attribute-based encryption (EABE) scheme and stored in IPFS to reduce the storage explosion problem on blockchain. The hash value generated from IPFS is further stored in the blockchain. Thus, through simulation it is shown that it enhances security and performance.