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Communication Dans Un Congrès Année : 2019

Privacy-preserving tax calculations in smart cities by means of Inner-Product Functional Encryption

Résumé

Functional encryption is a recent generalization of public-key cryptography which aims at enabling secret-key owners to decrypt only functions of the encrypted data. This model is very promising in terms of applications. Yet, although general constructions of theoretical interests do exist, practical functional encryption is presently limited to the evaluation of low-degree functions of the encrypted inputs. In this paper, we investigate how Inner-Product Functional Encryption (IPFE) may enable the design of tax calculation system with built-in privacy. The paper is also concluded by performances results demonstrating the practicality of the approach on the concrete issue of carbon tax calculations.
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Dates et versions

cea-04555692 , version 1 (23-04-2024)

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Citer

Oana Stan, Renaud Sirdey, Cedric Gouy-Pailler, Pierre Blanchart, Amira Benhamida, et al.. Privacy-preserving tax calculations in smart cities by means of Inner-Product Functional Encryption. CSNet 2018 - 2nd Cyber Security in Networking Conference, IEEE, Oct 2018, Paris, France. pp.8602714, ⟨10.1109/CSNET.2018.8602714⟩. ⟨cea-04555692⟩
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