Ensuring Information Security in Electronic Health Record System Using Cryptography and Cuckoo Search Algorithm

In the contemporary era,the abundant availability of health information through internet and mobile technology raises concerns.Safeguarding and maintaining the confidentiality of patients’medical data becomes paramount when sharing such information with authorized healthcare providers.Although electronic patient records and the internet have facilitated the exchange of medical information among healthcare providers,concerns persist regarding the security of the data.The security of Electronic Health Record Systems(EHRS)can be improved by employing the Cuckoo Search Algorithm(CS),the SHA-256 algorithm,and the Elliptic Curve Cryptography(ECC),as proposed in this study.The suggested approach involves usingCS to generate the ECCprivate key,thereby enhancing the security of data storage in EHR.The study evaluates the proposed design by comparing encoding and decoding times with alternative techniques like ECC-GA-SHA-256.The research findings indicate that the proposed design achieves faster encoding and decoding times,completing 125 and 175 iterations,respectively.Furthermore,the proposed design surpasses other encoding techniques by exhibiting encoding and decoding times that are more than 15.17%faster.These results imply that the proposed design can significantly enhance the security and performance of EHRs.Through the utilization of CS,SHA-256,and ECC,this study presents promising methods for addressing the security challenges associated with EHRs.

A survey on the Metaheuristics for Cryptanalysis of Substitution and Transposition Ciphers

This paper presents state-of-art cryptanalysis studies on attacks of the substitution and transposition ciphers using various metaheuristic algorithms.Traditional cryptanalysis methods employ an exhaustive search,which is computationally expensive.Therefore,metaheuristics have attracted the interest of researchers in the cryptanalysis field.Metaheuristic algorithms are known for improving the search for the optimum solution and include Genetic Algorithm,Simulated Annealing,Tabu Search,Particle Swarm Optimization,Differential Evolution,Ant Colony,the Artificial Bee Colony,Cuckoo Search,and Firefly algorithms.The most important part of these various applications is deciding the fitness function to guide the search.This review presents how these algorithms have been implemented for cryptanalysis purposes.The paper highlights the results and findings of the studies and determines the gaps in the literature.