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In this letter, a physical unclonable function (PUF)-advanced encryptionstandard (AES)-PUF is proposed as a new PUF architecture by embedding an AEScryptographic circuit between two conventional PUF circuits to conceal theirchallenge-to-response pairs (CRPs) against machine learning attacks. Moreover,an internal confidential data is added to the secret key of the AEScryptographic circuit in the new PUF architecture to update the secret key inreal-time against side-channel attacks. As shown in the results, even if 1million number of data are enabled by the adversary to implement machinelearning or side-channel attacks, the proposed PUF can not be cracked. Bycontrast, only 5,000 (1,000) number of data are sufficient to leak theconfidential information of a conventional PUF via machine learning(side-channel) attacks.

PUF-AES-PUF: a novel PUF architecture against non-invasive attacks