Fuzzy logic application to searchable cryptography

Kazemian, Hassan and Ma, Yang (2020) Fuzzy logic application to searchable cryptography. In: 21st International Conference on Engineering Applications of Neural Networks (EANN) / 16th International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2020, 5-7 June 2020, Porto Carras Grand Resort, Halkidiki, Greece.


Public Key Encryption with Keyword Search (PEKS) allows users to search encrypted files by a specific keyword without compromising the original data security. Almost all current PEKS schemes enable users to search exact keyword only instead of imprecise keyword (such as “latest”, “biggest”, etc.). Therefore, if the keyword is fuzzy, these PEKS schemes will be terminated and then report errors. Besides, some PEKS schemes are not secure mainly because they are vulnerable to Off-line Keyword Guessing Attack (OKGA). This research paper incorporates with Mamdani Fuzzy Inference System to PEKS for supporting Fuzzy Keyword Search. Secondly, the proposed scheme is proved to be semantic secure under the random oracle models so that it is able to resist OKGA. In addition, the new scheme allows users to search multiple keywords and therefore, it could be applied to the general public networks.

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