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- W2982405232 abstract "This paper presents an implementation of Convolutional Neural Network (CNN) symmetric encryption. The results based on selected criteria are compared with Advanced Encryption Standard (AES). Authors are testing both implementations using the set of differently sized and content independent files. Compared metrics include the execution time, memory occupancy and processor load. Robustness of CNN encryption against the crypto attacks was not tested and it is out of the scope of this paper. Concluded results offer the usability prospects of selected neural network for symmetric cryptographic purposes. The results of the experiments have shown that CNN has the potential for cryptographic purposes under the conditions specified in this paper." @default.
- W2982405232 created "2019-11-08" @default.
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- W2982405232 date "2019-10-01" @default.
- W2982405232 modified "2023-09-26" @default.
- W2982405232 title "Contribution to Symmetric Cryptography by Convolutional Neural Networks" @default.
- W2982405232 cites W2556867355 @default.
- W2982405232 doi "https://doi.org/10.23919/kit.2019.8883490" @default.
- W2982405232 hasPublicationYear "2019" @default.
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