A Flexible and Adaptive Hybrid Algorithm for Secure Data Sharing in Cloud Computing

Secure data-sharing in cloud computing is receiving greater attention in information communication systems since it provides users with efficient and effective data transmission. Cryptographic techniques are frequently employed to protect the confidentiality of shared sensitive data. However, data security remains a serious concern in centralized cloud-based data transfers. The key challenge with cloud data-sharing is determining how to authorize and access data securely. A secure data-sharing mechanism in a multi-cloud environment is introduced to address effective fine-grained access control, data privacy, and confidentiality. Fine-grained data access control is possible with Ciphertext Policy Attribute-Based Encryption. Since this encryption method is unsuitable for attribute coordination among numerous users and critical enforcement and attributes abuse difficulties, an additional encryption approach is required. Blowfish’s key scheduling takes a long time relative to other symmetric algorithms, which might be advantageous when brute force assaults are more complex. Combining the Blowfish technique for re-encryption gives the shared data an extra layer of security. There is still a risk of key generation and insider attacks. The proposed method uses an indexed-based file slicing and merging associated with the SHA-256 hash scheme to address these threats. Furthermore, the security analysis and performance evaluation of the proposed method shows that it is both secure and effective.