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a scalable framework for keyword search on encrypted data in clouds. The framework uses a cryptographic primitive called Homomorphic Encryption (HPE) to enforce fine-grained keyword search and update policies. HPE allows us to perform keyword search on encrypted data without decrypting it, which preserves the privacy of the data.The framework also implements noises in the query to hide user data and credentials. This helps to further protect the privacy of the data. We evaluated the framework on real-time datasets and demonstrated that it can be used to search encrypted data efficiently and securely.…mehr

Produktbeschreibung
a scalable framework for keyword search on encrypted data in clouds. The framework uses a cryptographic primitive called Homomorphic Encryption (HPE) to enforce fine-grained keyword search and update policies. HPE allows us to perform keyword search on encrypted data without decrypting it, which preserves the privacy of the data.The framework also implements noises in the query to hide user data and credentials. This helps to further protect the privacy of the data. We evaluated the framework on real-time datasets and demonstrated that it can be used to search encrypted data efficiently and securely.
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Autorenporträt
M. Dharani Kumar,Expert in the field of Information Technology and passionate about teaching and researchDr.K.Bhargavi, carried research in variety of areas, such as software engineering, data science, and artificial intelligence.N. Chandrakanth is passionate about teaching and researching how technology can be used to solve everyday problems.