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Thursday August 8, 2024 12:15pm - 12:26pm IST
Authors - Aashka Raval, Jaivik Jariwala, Vrundan Sojitra, Nishant Doshi
Abstract - Encryption and decryption are used even before the word democracy came into existence. Asset encryption systems rely on key sharing (public or private) between peers involved in exchanging encrypted messages, but with the passage of time, we have observed concerns towards privacy. Users or key service providers have exclusive rights to data and when we talk about the cloud is known how vulnerable our data is to cloud providers as well as third-party service providers. Even if the keys are not shared, encrypted equipment is shared with someone who does not need access to the content, and all this access is provided through untrusted sources like computers, servers to all the accessible places and people they do not even need permission which makes it freer to violate privacy. Indeed, Homomorphic Encryption (HE), a special type of encryption system, can address this concern as it allows any outside organization to process encrypted data without having to extract it prematurely. Although this extremely useful feature of the HE system has been known for more than 30 years, the first sound and accessible Fully Homomorphic Encryption (FHE) system, which allows any tangible work to be done on encrypted data, was introduced by Craig Gentry in 2009. While this has been a remarkable success, the different uses have so far shown that FHE still needs significant improvements to work across all platforms. This paper focuses on the comparison of Partially Homomorphic Encryption (PHE) and Fully Homomorphic Encryption in cloud computing. Both have some pros and cons and the computation is a crucial part of the implementation to see how they work.
Paper Presenter
Thursday August 8, 2024 12:15pm - 12:26pm IST
Strategy/Analysis Hotel Vivanta by Taj, Goa, India

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