Mohamed Nassar, Ph.D.
Electrical & Computer Engineering and Computer Science Department
Tagliatela College of Engineering
Education
Ph.D., University of Lorraine, 2009
DEA (MS), University of Lorraine, 2005
About Mohamed
Mohamed Nassar worked as assistant professor of computer science at the American University of Beirut (AUB) since 2016. Before joining AUB, he was a Post Doc fellow at the department of computer science and engineering at Qatar University. Mohamed Nassar received his research master's degree (DEA) in computer science in 2005 and the Ph.D. degree in 2009, both from Nancy University (currently University of Lorraine), France. He worked as an expert research engineer at INRIA Nancy, France (2009-2010) and Ericsson, Ireland (2011). His research interests are cybersecurity and machine learning.
Research Interests
Cybersecurity, Network Security, Machine Learning Security, Explainability and Monitoring, Machine Learning for Cybersecurity, Privacy, VoIP/SIP.
Recently Published Articles
Nassar, M., et al. 2019. "Securing Aggregate Queries for DNA Databases", IEEE Transactions on Cloud Computing
Nassar, M., et al. 2019. "Blockchain for explainable and trustworthy artificial intelligence", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Recent Conference Presentations
Nassar, M., et al. 2020. "VIP Blowfish Privacy in Communication Graphs", Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, {ICETE} 2020 - Volume 2: SECRYPT(459--467), Lieusaint, France: ScitePress
Khoury, J. and Nassar, M. 2020. "A Hybrid Game Theory and Reinforcement Learning Approach for Cyber-Physical Systems Security", Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020
Nassar, M., et al. 2019. "Shoplifting smart stores using adversarial machine learning", Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Khan, N. and Nassar, M. 2019. "A look into privacy-preserving blockchains", Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Nassar, M., et al. 2019. "Chi squared feature selection over apache spark", ACM International Conference Proceeding Series
Al Kadri, M., Nassar, M., and Safa, H. 2019. "Transfer learning for malware multi-classification", ACM International Conference Proceeding Series
Nassar, M., Rawda, B., and Mardini, M. 2019. "SelecT: Secure election as a service", ACM International Conference Proceeding Series
Safa, H., Nassar, M., and Orabi, W.A.R.A. 2019. "Benchmarking convolutional and recurrent neural networks for malware classification", 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019 (561-566)
Nassar, M., Malluhi, Q., and Khan, T. 2019. "A Scheme for Three-way Secure and Verifiable E-Voting", Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Awad, Y., Nassar, M., and Safa, H. 2018. "Modeling malware as a language", IEEE International Conference on Communications
Nassar, M. and Safa, H. 2018. "Throttling Malware Families in 2D", 12th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2018), Munich, Germany: IFIP Proceedings