USING GENETIC ALGORITHMS TO OPTIMIZE CYBER SECURITY PROTOCOLS FOR HEALTHCARE DATA MANAGEMENT SYSTEMS
Keywords:
Genetic Algorithms, Cybersecurity, Healthcare Data, Optimization, Data Management, Encryption, Access Control, Security ProtocolsAbstract
With the exponential growth of healthcare data in the digital age, securing patient information has become a crucial concern. Traditional security protocols often struggle to keep pace with emerging cyber threats, particularly in healthcare environments where both data integrity and accessibility are paramount. Genetic Algorithms (GAs) offer a promising optimization tool for evolving more robust cybersecurity protocols. This paper explores the application of GAs to healthcare data management systems, aiming to enhance security while ensuring system efficiency. Through literature review and experimental analysis, we demonstrate how GAs can improve protocol resilience against attacks. Results from the study indicate a significant increase in the robustness of security protocols when optimized through GAs, with a particular focus on encryption and access control mechanisms.
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Copyright (c) 2022 Anto Merline Das (Author)
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