Amir Ali-Pour PhD

Amir Ali-Pour PhD

Postdoctoral Researcher

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Helper Data Masking for Physically Unclonable Function-Based Key Generation Algorithms

Published in IEEE Access, 2022

This paper is about how to secure the fuzzy extractor and error correction codes from adversaries who aim to enforce key values by manipulating the helper data. The paper proposes a countermeasure that masks the helper data to eliminate the efficacy of manipulation.

Recommended citation: Pour, A.A., Afghah, F., Hely, D., Beroulle, V., Di Natale, G., Korenda, A.R. and Cambou, B., 2022. Helper data masking for physically unclonable function-based key generation algorithms. IEEE Access, 10, pp.40150-40164.
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Conference Papers

PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT

Published in ICDCS 2024, EDCCS workshop, 2024

This paper is about how PUF can be used in composition with MQTT protocol to create private and encrypted communcation channels.

Recommended citation: Ali-Pour, A. and Gascon-Samson, J., 2024, July. PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT. In 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW) (pp. 64-74). IEEE.
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MQTT2EdgePeer: A robust and scalable brokerless peer-to-peer edge middleware for topic-based publish/subscribe

Published in CCGRID 2024, 2024

This paper is about a robust and scalable brokerless peer-to-peer edge middleware for topic-based publish/subscribe commnication model

Recommended citation: Rahmani, S., Ali-Pour, A., Coti, C. and Gascon-Samson, J., 2024, May. MQTT2EdgePeer: A robust and scalable brokerless peer-to-peer edge middleware for topic-based publish/subscribe. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 419-424). IEEE.
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Secure puf-based authentication and key exchange protocol using machine learning

Published in ISVLSI 2022, 2022

This paper is about enabling secure, resilient and fast authentication and key exchange mechanism with PUF using machine learning.

Recommended citation: Ali-Pour, A., Afghah, F., Hely, D., Beroulle, V. and Di Natale, G., 2022, July. Secure puf-based authentication and key exchange protocol using machine learning. In 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 386-389). IEEE.
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On the performance of non-profiled differential deep learning attacks against an AES encryption algorithm protected using a correlated noise generation based hiding countermeasure

Published in DAT-E 2020, 2020

This paper is about a series of analysis on the efficacy of SCA countermeasures against some profiled and non-profiled deep learning based side channel analysis attacks.

Recommended citation: Alipour, A., Papadimitriou, A., Beroulle, V., Aerabi, E. and Hély, D., 2020, March. On the performance of non-profiled differential deep learning attacks against an AES encryption algorithm protected using a correlated noise generation based hiding countermeasure. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 614-617). IEEE.
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