MACHINE LEARNING BASED CRYPTANALYSIS

Embodiments decrypt or partially decrypt an encoded message or a private key, the encoded message or private key encoded by a public-key cryptography algorithm. Embodiments encode the public-key cryptography algorithm using a language of a program synthesizer and construct a grammar for the program...

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Bibliographische Detailangaben
Hauptverfasser: CLIFTON, David M, GANESAN, Dharmalingam
Format: Patent
Sprache:eng ; fre ; ger
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Beschreibung
Zusammenfassung:Embodiments decrypt or partially decrypt an encoded message or a private key, the encoded message or private key encoded by a public-key cryptography algorithm. Embodiments encode the public-key cryptography algorithm using a language of a program synthesizer and construct a grammar for the program synthesizer. Embodiments train the program synthesizer with training data comprising input-output pairs and execute the trained program synthesizer to generate a mathematical formula. Embodiments validate the generated mathematical formula and then perform the decrypting using the trained and validated program synthesizer.