Cloud computing has emerged as a highly innovative technology, offering various benefits to users. To ensure the security of user data, cloud storage schemes have been introduced, aiming to protect sensitive information from unauthorized access. In particular, the sharing of personal health records (PHR) is gaining prominence as a method for securely sharing healthcare data among users on cloud servers. The use of fuzzy techniques plays a crucial role in transforming original data into an encrypted form, known as ciphertext, which is challenging for unauthorized individuals to comprehend. This technique enhances the confidentiality of data, ensuring that only authorized parties can access and understand it. However, while cloud services provide a convenient platform for data sharing, they often lack efficiency in terms of data sharing capabilities. To address these challenges, a novel approach called fuzzy identity biometric encryption (FIBE) is introduced for PHR management. FIBE combines the benefits of fuzzy techniques and biometric authentication to achieve both high-security levels and user convenience simultaneously. This approach enables authorized users to have control over access to PHR data and ensures secure data sharing within a cloud environment. By integrating biometric authentication, FIBE enhances the security of PHR systems, as biometric characteristics are unique to each individual, making it difficult for unauthorized users to gain access. Moreover, the approach improves user convenience by eliminating the need for remembering complex passwords or using traditional authentication methods. In conclusion, the utilization of fuzzy identity biometric encryption (FIBE) in PHR systems offers enhanced security and efficient data sharing in the cloud. This approach combines the advantages of fuzzy techniques and biometric authentication, providing authorized users with control over data access while maintaining a high level of security and user convenience.
CITATION STYLE
Venkatachalam, C., Manivannan, K., & Venkatachalam, S. (2023). Securing Data in the Cloud: The Application of Fuzzy Identity Biometric Encryption for Enhanced Privacy and Authentication. In Lecture Notes in Networks and Systems (Vol. 798 LNNS, pp. 213–224). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-7093-3_14
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