Mohamad Nassar, Ph.D.

Mohamad Nassar Image
Assistant Professor

Electrical & Computer Engineering and Computer Science Department
Tagliatela College of Engineering
Education

Bachelor of Engineering, Communication & Computer Engineering, Lebanese University
M.S., Computer Science, University of Lorraine
Doctor of Philosophy, Computer Science, University of Lorraine

About Mohamad

Dr. Mohamad Nassar is a tenure-track assistant professor in computer science and data science at the University of New Haven. He served in a similar position at The University of Alabama in Huntsville (2023-24), UNewHaven (2021-23) and the American University of Beirut (AUB) (2016-21). Before joining AUB, he completed a postdoctoral research stay at the department of computer science and engineering at Qatar University. Nassar received his research master杏吧原版檚 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 (2009-10) and Ericsson, Ireland (2011). Nassar has published more than 40 peer-reviewed conference and journal articles. He is active in research on AI for cybersecurity and explainable AI.

Publications

[J1] Y. Nasser and M. Nassar, 杏吧原版淭oward hardware-assisted malware detection utilizing explainable machine learning: A survey,杏吧原版 IEEE Access, 2023.

[J2] S. A. H. Ibrahim and M. Nassar, 杏吧原版淥n the security of deep learning novelty detection,杏吧原版 Expert Systems with Applications, vol. 207, p. 117964, 2022.

[J3] E. Chicha, B. A. Bouna, M. Nassar, R. Chbeir, R. A. Haraty, M. Oussalah, D. Benslimane, and M. N. Alraja, 杏吧原版淎 user-centric mechanism for sequentially releasing graph datasets under blowfish privacy,杏吧原版 ACM Transactions on Internet Technology (TOIT), vol. 21, no. 1, pp. 1杏吧原版25, 2021.

[J4] M. Nassar, K. Salah, M. H. ur Rehman, and D. Svetinovic, 杏吧原版淏lockchain for explainable and trustworthy artificial intelligence,杏吧原版 Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, p. e1340, 2019.

[J5] K. Dassouki, H. Safa, M. Nassar, and A. Hijazi, 杏吧原版淧rotecting from cloud-based sip flooding attacks by leveraging temporal and structural fingerprints,杏吧原版 Computers & Security, vol. 70, pp. 618杏吧原版633, 2017.

[J6] E. Chicha, B. Al Bouna, M. Nassar, and R. Chbeir, 杏吧原版淐loud-based differentially private image classification,杏吧原版 Wireless Networks, pp. 1杏吧原版8, 2018.

[J7] M. Nassar, Q. Malluhi, M. Atallah, and A. Shikfa, 杏吧原版淪ecuring aggregate queries for dna databases,杏吧原版 IEEE Transactions on Cloud Computing, vol. 7, no. 3, pp. 827杏吧原版837, 2017.

[J8] T. Jung, S. Martin, M. Nassar, D. Ernst, and G. Leduc, 杏吧原版淥utbound spit filter with optimal performance guarantees,杏吧原版 Computer Networks, vol. 57, no. 7, pp. 1630杏吧原版1643, 2013.

[J9] Y. Rebahi, M. Nassar, T. Magedanz, and O. Festor, 杏吧原版淎 survey on fraud and service misuse in voice over ip (voip) networks,杏吧原版 information security technical report, vol. 16, no. 1, pp. 12杏吧原版19, 2011.

Conference publications

[C1] M. Mekni, S. Atilho, B. Greenfield, B. Placzek, and M. Nassar, 杏吧原版淩eal-time smart parking integration in intelligent transportation systems (its),杏吧原版 in Proceedings of the Future Technologies Conference, pp. 212杏吧原版236, Springer, 2023.

[C2] C. Barone, M. Mekni, and M. Nassar, 杏吧原版淕argoyle guard: Enhancing cybersecurity with artificial intelligence techniques,杏吧原版 in The Third Intelligent Cybersecurity Conference (ICSC2023), https://www.icsc-conference.org/2023/index.php, 2023.

[C3] K. Samrouth, M. Nassar, and H. Harb, 杏吧原版淩evisiting attack trees for modeling machine pwning in training environments,杏吧原版 in The Third Intelligent Cybersecurity Conference (ICSC2023), https://www.icsc-conference.org/2023/index.php, 2023.

[C4] C. S. Jayaramireddy, S. Naraharisetti, S. S. Veera Venkata, M. Nassar, and M. Mekni, 杏吧原版淎 survey of reinforcement learning toolkits for gaming: Applications, challenges and trends,杏吧原版 in Proceedings of the Future Technologies Conference, pp. 165杏吧原版184, Springer, Cham, 2023.

[C5] K. L. Pasala, C. S. Jayaramireddy, S. Naraharisetti, S. S. Veera Venkata, S. Atilho, B. Greenfield, B. Placzek, M. Nassar, and M. Mekni, 杏吧原版淪mart parking system (sps): An intelligent imageprocessing based parking solution,杏吧原版 in Conference on Sustainable Urban Mobility, pp. 291杏吧原版299, Springer, 2022.

[C6] T. Edwards, S. McCullough, M. Nassar, and I. Baggili, 杏吧原版淥n exploring the subdomain of artificial intelligence (ai) model forensics,杏吧原版 in EAI ICDF2C, https://icdf2c.eaiconferences. org/2021/, 2021.

[C7] D. Al Bared and M. Nassar, 杏吧原版淪egmentation fault: A cheap defense against adversarial machine learning,杏吧原版 in 2021 3rd IEEE Middle East and North Africa COMMunications Conference (MENACOMM), pp. 37杏吧原版42, IEEE, 2021.

[C8] S. Hajj Ibrahim and M. Nassar, 杏吧原版淗ack the box: Fooling deep learning abstraction-based monitors,杏吧原版 in The 2nd Workshop on Artificial Intelligence for Anomalies and Novelties (AI4AN 2021), co-located with IJCAI 2021, 2021.

[C9] M. Nassar, J. Khoury, A. Erradi, and E. Bou-Harb, 杏吧原版淕ame theoretical model for cybersecurity risk assessment of industrial control systems,杏吧原版 in 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. 1杏吧原版7, IEEE, 2021.

[C10] N. M. Farroukh, M. Nassar, S. Elbassuoni, and H. Safa, 杏吧原版淜eep it flat (kif): Resource management in integrated cloud-fog networks,杏吧原版 in ICWMC 2021, The Seventeenth International Conference on Wireless and Mobile Communications, no. ISBN: 978-1-61208-878-5, IARIA, 2021.

[C11] M. Nassar, E. Chicha, B. A. Bouna, and R. Chbeir, 杏吧原版淰ip blowfish privacy in communication graphs,杏吧原版 in Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, fICETEg, vol. 2, pp. 459杏吧原版467, Lieusaint, Paris, France, July 8-10, 2020, 2020.

[C12] J. Khoury and M. Nassar, 杏吧原版淎 hybrid game theory and reinforcement learning approach for cyber-physical systems security,杏吧原版 in NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, pp. 1杏吧原版9, IEEE, 2020.

[C13] M. Nassar, A. Itani, M. Karout, M. El Baba, and O. A. S. Kaakaji, 杏吧原版淪hoplifting smart stores using adversarial machine learning,杏吧原版 in AICCSA, 2019.

[C14] N. Khan and M. Nassar, 杏吧原版淎 look into privacy-preserving blockchains,杏吧原版 in 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), pp. 1杏吧原版6, IEEE, 2019.

[C15] M. Nassar, H. Safa, A. A. Mutawa, A. Helal, and I. Gaba, 杏吧原版淐hi squared feature selection over apache spark,杏吧原版 in Proceedings of the 23rd International Database Applications & Engineering Symposium, pp. 1杏吧原版5, 2019.

[C16] M. A. Kadri, M. Nassar, and H. Safa, 杏吧原版淭ransfer learning for malware multi-classification,杏吧原版 in Proceedings of the 23rd International Database Applications & Engineering Symposium, p. 19, ACM, 2019.

[C17] M. Nassar, B. Rawda, and M. Mardini, 杏吧原版渟elect: Secure election as a service,杏吧原版 in Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019.

[C18] H. Safa, M. Nassar, and W. A. R. Al Orabi, 杏吧原版淏enchmarking convolutional and recurrent neural networks for malware classification,杏吧原版 in 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 561杏吧原版566, IEEE, 2019. Mohamad Nassar Page 6 of 12

[C19] M. Nassar, Q. Malluhi, and T. Khan, 杏吧原版淎 scheme for three-way secure and verifiable e-voting,杏吧原版 in 15th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2018), 2018.

[C20] M. Nassar and H. Safa, 杏吧原版淭hrottling malware families in 2d,杏吧原版 in 12th International Conference on Autonomous Infrastructure, Management and Security (IFIP AIMS 2018), http://www.aims-conference.org/2018/program.html, 2018.

[C21] Y. Awad, M. Nassar, and H. Safa, 杏吧原版淢odeling malware as a language,杏吧原版 in 2018 IEEE International Conference on Communications (ICC), pp. 1杏吧原版6, IEEE, 2018.

[C22] H. Bou-Ammar, M. Jaber, and M. Nassar, 杏吧原版淐orrectness-by-learning of infinite-state component-based systems,杏吧原版 in International Conference on Formal Aspects of Component Software, pp. 162杏吧原版178, Springer, Cham, 2017.

[C23] M. Jaber, M. Nassar, W. A. R. Al Orabi, B. A. Farraj, M. O. Kayali, and C. Helwe, 杏吧原版淩econfigurable and adaptive spark applications.,杏吧原版 in CLOSER - 7th International Conference on Cloud Computing and Services Science, pp. 84杏吧原版91, 2017.

[C24] M. Nassar, N. Wehbe, and B. Al Bouna, 杏吧原版淜-nn classification under homomorphic encryption: application on a labeled eigen faces dataset,杏吧原版 in 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), pp. 546杏吧原版552, IEEE, 2016.

[C25] S. Barakat, B. A. Bouna, M. Nassar, and C. Guyeux, 杏吧原版淥n the evaluation of the privacy breach in disassociated set-valued datasets,杏吧原版 in Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), SECRYPT, Lisbon, Portugal,, vol. 4, 2016.

[C26] M. Nassar, A. Erradi, and Q. M. Malluhi, 杏吧原版淧aillier杏吧原版檚 encryption: Implementation and cloud applications,杏吧原版 in 2015 International Conference on Applied Research in Computer Science and Engineering (ICAR), pp. 1杏吧原版5, IEEE, 2015.

[C27] M. Nassar, A. A.-R. Orabi, M. Doha, and B. Al Bouna, 杏吧原版淎n sql-like query tool for data anonymization and outsourcing,杏吧原版 in 2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), pp. 1杏吧原版3, IEEE, 2015.

[C28] M. Nassar, A. Erradi, and Q. M. Malluhi, 杏吧原版淎 domain specific language for secure outsourcing of computation to the cloud,杏吧原版 in 2015 IEEE 19th International Enterprise Distributed Object Computing Conference, pp. 134杏吧原版141, IEEE, 2015.

[C29] F. Sabry, A. Erradi, M. Nassar, and Q. M. Malluhi, 杏吧原版淎utomatic generation of optimized workflow for distributed computations on large-scale matrices,杏吧原版 in International Conference on Service-Oriented Computing, pp. 79杏吧原版92, Springer, 2014.

[C30] M. Nassar, A. Erradi, F. Sabry, and Q. M. Malluhi, 杏吧原版淎 model driven framework for secure outsourcing of computation to the cloud,杏吧原版 in 2014 IEEE 7th International Conference on Cloud Computing, pp. 968杏吧原版969, IEEE, 2014.

[C31] M. Nassar, B. al Bouna, and Q. Malluhi, 杏吧原版淪ecure outsourcing of network flow data analysis,杏吧原版 in 2013 IEEE International Congress on Big Data, pp. 431杏吧原版432, IEEE, 2013.

[C32] S. Wang, M. Nassar, M. Atallah, and Q. Malluhi, 杏吧原版淪ecure and private outsourcing of shapebased feature extraction,杏吧原版 in International conference on information and communications security, pp. 90杏吧原版99, Springer, Cham, 2013. Mohamad Nassar Page 7 of 12

[C33] M. Nassar, A. Erradi, and Q. M. Malluhi, 杏吧原版淧ractical and secure outsourcing of matrix computations to the cloud,杏吧原版 in 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops, pp. 70杏吧原版75, IEEE, 2013.

[C34] M. Nassar, A. Erradi, F. Sabri, and Q. M. Malluhi, 杏吧原版淪ecure outsourcing of matrix operations as a service,杏吧原版 in 2013 IEEE Sixth International Conference on Cloud Computing, pp. 918杏吧原版925, IEEE, 2013.

[C35] M. Wang, S. B. Handurukande, and M. Nassar, 杏吧原版淩pig: A scalable framework for machine learning and advanced statistical functionalities,杏吧原版 in 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, pp. 293杏吧原版300, IEEE, 2012.

[C36] M. Nassar, S. Martin, G. Leduc, and O. Festor, 杏吧原版淯sing decision trees for generating adaptive spit signatures,杏吧原版 in Proceedings of the 4th international conference on Security of information and networks, pp. 13杏吧原版20, ACM, 2011.

[C37] R. Do Carmo, M. Nassar, and O. Festor, 杏吧原版淎rtemisa: An open-source honeypot back-end to support security in voip domains,杏吧原版 in 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, pp. 361杏吧原版368, IEEE, 2011.

[C38] M. Nassar, O. Dabbebi, R. Badonnel, and O. Festor, 杏吧原版淩isk management in voip infrastructures using support vector machines,杏吧原版 in 2010 International Conference on Network and Service Management, pp. 48杏吧原版55, IEEE, 2010.

[C39] M. Nassar, R. State, and O. Festor, 杏吧原版淎 framework for monitoring sip enterprise networks,杏吧原版 in 2010 Fourth International Conference on Network and System Security, pp. 1杏吧原版8, IEEE, 2010.

[C40] M. Nassar, R. State, and O. Festor, 杏吧原版淟abeled voip data-set for intrusion detection evaluation,杏吧原版 Networked Services and Applications-Engineering, Control and Management, pp. 97杏吧原版106, 2010.

[C41] M. Nassar, R. State, and O. Festor, 杏吧原版淰oip malware: Attack tool & attack scenarios,杏吧原版 in 2009 IEEE International Conference on Communications, pp. 1杏吧原版6, IEEE, 2009.

[C42] M. Nassar, R. State, and O. Festor, 杏吧原版淢onitoring sip traffic using support vector machines,杏吧原版 in Recent Advances in Intrusion Detection, pp. 311杏吧原版330, Springer, 2008.

[C43] M. Nassar, S. Niccolini, R. State, and T. Ewald, 杏吧原版淗olistic voip intrusion detection and prevention system,杏吧原版 in Proceedings of the 1st international conference on Principles, systems and applications of IP telecommunications, pp. 1杏吧原版9, 2007.

[C44] M. Nassar, O. Festor, et al., 杏吧原版淚bgp confederation provisioning,杏吧原版 in IFIP International Conference on Autonomous Infrastructure, Management and Security, pp. 25杏吧原版34, Springer, Berlin, Heidelberg, 2007.

[C45] M. Nassar, O. Festor, et al., 杏吧原版淰oip honeypot architecture,杏吧原版 in Integrated Network Management, 2007. IM杏吧原版07. 10th IFIP/IEEE International Symposium on, pp. 109杏吧原版118, IEEE, 2007.

[C46] M. Nassar, R. State, and O. Festor, 杏吧原版淚ntrusion detection mechanisms for voip applications,杏吧原版 in Third annual VoIP security workshop (VSW杏吧原版06), 2006.

Chapter in book and arxiv

[B1] Y. Rebahi, R. Ruppelt, M. Nassar, and O. Festor, 杏吧原版淪camstop: A platform for mitigating fraud in voip environments,杏吧原版 in Network and Traffic Engineering in Emerging Distributed Computing Applications, pp. 302杏吧原版325, IGI Global, 2013.

[B2] M. Nassar, 杏吧原版淎 practical scheme for two-party private linear least squares,杏吧原版 arXiv preprint arXiv:1901.09281, 2019.