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Enhanced attribute based encryption technique for secured access in cloud storage for personal health records

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2022年第11期34卷

作者： Saravanan, N. Umamakeswari, A. SASTRA Univ Sch Comp Thanjavur Tamil Nadu India

Recent development of medical information technology uses personal health record (PHR) system, which allows the patients to create, store and share their own health information with doctors, nurses, health insurance providers, and family members. However, it has the security and privacy issues. The secret key generation is the major task by performing different algorithms on attribute based encryption (ABE) technique. This method helps to identify the trusted authority using secret key verification on the decryption process. The revocation scheme is performed to reduce the attributes for improving the performance. The drawback of existing method is overcome by the proposed system in which the PHR file is securely accessed by performing enhanced encryption and decryption of ABE technique. Here the matrix based lattice algorithm is proposed with bit plane transformation of decomposition matrices. Attribute reduction and secret key encryption is performed to improve the result of reliability, security, and scalability. The plain text is created to cipher text as key and it holds the encrypted PHR file on the cloud storage, which is retrieved only by the trusted authority. The proposed method is analyzed and compared with the existing work and achieves greater results than most of the recent related literature.

关键词： attribute reduction scheme bit decomposition matrix encryption and decryption with secret key enhanced ABE technique lattice algorithm PHR file

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