A Novel Technique To Access Sensitive Medical Data With Access Policies
Abstract
Ensuring the efficient and secure access of sensitive health records is one of the main issues challenging healthcare systems. This work offers a novel method that combines the Harmony Search Algorithm (HSA) with Attribute-Based Encryption (ABE) to provide strict data security, patient privacy, and robust access controls. Inspired by the evolution of musical harmony, the Harmony Search Algorithm successfully integrates ABE fundamentals to create and enhance controls on access that manage the retrieval of personal medical records. A dynamic framework is managed through this association, whereby HSA optimizes the development and growth of access controls and ABE presents a fine-grained, attribute-based method to encrypting and decrypting sensitive data.
This creative approach makes use of the HSA's ability to adapt access rules continuously to meet changing legal requirements and healthcare needs. The ABE algorithm offers local management of data access through making sure that only allowed entities with the necessary features can decode specific medical information, which enhances data security. With a primary focus on ensuring legal compliance, the framework's development was influenced by tight healthcare data laws, patient confidentiality, and ethical values. The recommended methodology offers an optimal combination of data security concepts and efficiency methods, representing an important progress in the domain of medical data management. This method integrates HSA and ABE to provide a framework that is safe, flexible and responsible for obtaining private medical information. This will maintain the security of patients and safety while expanding data useful for specified organizations.
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