Employing Blockchain and Physical Unclonable Functions for Counterfeit IoT Devices Detection-Reference-Cited by-同舟云学术

Employing Blockchain and Physical Unclonable Functions for Counterfeit IoT Devices Detection

Published:2019-05-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Omni-Layer Intelligent Systems
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Author:

Negka Lydia¹,Gketsios Georgios¹,Anagnostopoulos Nikolaos A.²,Spathoulas Georgios¹,Kakarountas Athanasios¹,Katzenbeisser Stefan²

Affiliation:

1. University of Thessaly, Greece

2. TU Darmstadt, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3312614.3312650

Reference46 articles.

1. S. Ahmad. 2018. Using Physical Unclonable Functions for Data-Link Layer Authenticity Verification to Mitigate Attacks on IEEE 802.11ad Beam Training. Master's thesis. Technische Universität Darmstadt. S. Ahmad. 2018. Using Physical Unclonable Functions for Data-Link Layer Authenticity Verification to Mitigate Attacks on IEEE 802.11ad Beam Training. Master's thesis. Technische Universität Darmstadt.

2. Position Paper

3. N. A. Anagnostopoulos T. Arul Y. Fan C. Hatzfeld A. Schaller W. Xiong M. Jain M. U. Saleem J. Lotichius S. Gabmeyer J. Szefer and S. Katzenbeisser. 2018. Intrinsic Run-Time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security. Cryptography 2 3 (2018). N. A. Anagnostopoulos T. Arul Y. Fan C. Hatzfeld A. Schaller W. Xiong M. Jain M. U. Saleem J. Lotichius S. Gabmeyer J. Szefer and S. Katzenbeisser. 2018. Intrinsic Run-Time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security. Cryptography 2 3 (2018).

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