Bio
I hold a Ph.D. in Computer Security which I have successfully defended in December 2021 at the
National Institute for Research in Computer Science and Automation (INRIA) and the University
of Rennes 1 in France.
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My thesis consisted in developing techniques that rely on machine learning for effectively, efficiently,
and robustly detecting and classifying malware packers.
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During my thesis, I worked under the supervision of Dr. Fabrizi Biondi, Dr. Olivier Zendra, Dr. Annelie Heuser,
Prof. Stéphane Ubéda, and Prof. Axel Legay.
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Before the Ph.D., I got my Bachelor's degree in Computer Science and my Master's degree in Computer
Security at the University of Science and Technology of Algiers (Algeria) – Houari Boumediene (USTHB).
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Research
My research interests lie at the intersection of Cybersecurity and Artificial Intelligence. In particular, I am interested to study and propose trustworthy AI solutions for real-world cybersecurity applications. That is, how could we provide secure, robust, explainable, generalizable, privacy-preserved, fast and economic AI for real-world cybersecurity applications.
Publications
2021
Lamine Noureddine. 2021.
Packing detection and classification relying on machine learning to stop malware propagation.
Final Ph.D. manuscript. University of Rennes 1. [PDF]
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Cassius Puodzius, Olivier Zendra, Annelie Heuser and Lamine Noureddine. 2021.
Accurate and Robust Malware Analysis through Similarity of External Calls Dependency Graphs (ECDG).
In the 10th International Workshop on Cyber Crime (IWCC 2021). [Best Paper Award] [PDF]
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Lamine Noureddine, Annelie Heuser, Cassius Puodzius, and Olivier Zendra. 2021.
SE-PAC: A Self-Evolving PAcker Classifier against rapid packers evolution.
In Proceedings of the 11th ACM Conference on Data and Application Security and Privacy (CODASPY 2021),
April 26–28, 2021, Baltimore-Washington DC Area, MD, USA. (acceptance rate: 24.5% ). [PDF]
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2019
Fabrizio Biondi, Michael A Enescu, Thomas Given-Wilson, Axel Legay, Lamine Noureddine, and Vivek Verma. 2019.
Effective, efficient, and robust packing detection and classification.
Computers & Security 85 (2019), 436–451. [PDF]
Contact
The best way to contact me is by email: laminho@live.fr