journal-of-discrete-mathematical-sciences-and-cryptography Journal of Discrete Mathematical Sciences and Cryptography 2169-0065 0972-0529 Taru Publications 10.47974/JDMSC-2132 A novel optimization-based blockchain technology using health care data for enhancing security and privacy in the medical system Kavita K. Department of Mathematics, BVRIT HYDERABAD College of Engineering for Women, Hyderabad, Telangana, 500090, India Kulkarni Raghavendra Department of Computer Science, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Mysuru, Karnataka, 570026, India Prasad A. Hanumat Department of Computer Science and Engineering, Kallam Haranadha Reddy Institute of Engineering & Technology, Guntur, Andhra Pradesh, 522019, India Jeyakumar Balajee Department of Artificial Intelligence and Data Science, Palamaner, Mother Theresa Institute of Engineering and Technology, Chittoor, Andhra Pradesh, 517408, India Thaile Manyam Department of Information Technology, Venkatapur, Ghatkesar, Medchal–Malkajgiri District, Anurag University, Hyderabad, Telangana, 500088, India Gore Santosh Sai Info Solution, Nashik, Maharashtra, 422002, India 27 8 2483 2494 18 12 2024

This study introduces an Ant Lion-based Advanced Encryption Standard with Blockchain (ALAESB) model to enhance security and privacy in healthcare data management. Utilizing cloud storage, Electronic Health Records (EHR) are encrypted using AES and authenticated via blockchain. The methodology integrates hash functions and Merkle trees for data validation and secure block storage. Key generation is optimized through antlion fitness updates, ensuring efficient encryption and decryption processes. The model aims to mitigate privacy risks and secure patient data access for healthcare providers, emphasizing reliability and integrity in medical data handling.

 Blockchain Advance standard encryption Patient data Session key Cloud access open retracted no