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Dr. Ahmed Lekssays
Postdoctoral Researcher
Educational Qualifications
PhD in Computer Science
MSc in Software Engineering
Entity
Qatar Computing Research Institute
Division
Cybersecurity
Biography
Dr. Ahmed Lekssays is a Postdoctoral Researcher at Qatar Computing Research Institute. He obtained his PhD from the University of Insubria in Varese, Italy in 2022 funded by EU's Marie Skłodowska-Curie Actions, and his master’s and bachelor’s degrees from Al Akhawayn University in Ifrane, Morocco. His research interests include malware analysis, software security, and distributed systems.
PhD in Computer Science
Università degli studi dell'Insubria, Italy
2022
MSc in Software Engineering
Al Akhawayn University, Morocco
2019
BSc in Computer Science
Al Akhawayn University, Morocco
2018
- Malware analysis
- Software security
- Distributed systems
- Decentralized learning
Postdoctoral Researcher
Qatar Computing Research Institute, Hamad Bin Khalifa University
2024 - Present
Kumarasinghe, U., Lekssays, A., Sencar, H. T., Boughorbel, S., Elvitigala, C., & Nakov, P. (2024, July). Semantic ranking for automated adversarial technique annotation in security text. In Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (pp. 49-62).
Lekssays, A., Carminati, B., & Ferrari, E. (2023). MalCon: A blockchain-based malware containment framework for Internet of Things. Computer Networks, 233, 109853.
Lekssays, A., Sirigu, G., Carminati, B., & Ferrari, E. (2022, August). MalRec: A blockchain-based malware recovery framework for Internet of Things. In Proceedings of the 17th International Conference on Availability, Reliability and Security (pp. 1-8).
Giaretta, L., Lekssays, A., Carminati, B., Ferrari, E., & Girdzijauskas, Š. (2021, September). LiMNet: Early-stage detection of IoT botnets with lightweight memory networks. In European Symposium on Research in Computer Security (pp. 605-625). Cham: Springer International Publishing.
Lekssays, A., Landa, L., Carminati, B., & Ferrari, E. (2021). PAutoBotCatcher: A blockchain-based privacy-preserving botnet detector for Internet of Things. Computer Networks, 200, 108512.
Complete Publication Listing(s): Google Scholar
Marie Skłodowska-Curie Actions Fellowship