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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Abbasi, H., Ezzati-Jivan, N., Bellaïche, M., Talhi, C., & Dagenais, M. (2021). The Use of Anomaly Detection for the Detection of Different Types of DDoS Attacks in Cloud Environment. Journal of Hardware and Systems Security, 2021(3-4), 208-222. External link
Abbasi, H., Ezzati-Jivan, N., Bellaïche, M., Talhi, C., & Dagenais, M. (2019). Machine learning-based EDoS attack detection technique using execution trace analysis. Journal of Hardware and Systems Security, 3(2), 164-176. Available
Abdellatif, M., Talhi, C., Hamou-Lhadj, A., & Dagenais, M. (2015, September). On the Use of Mobile GPU for Accelerating Malware Detection Using Trace Analysis [Paper]. 34th IEEE Symposium on Reliable Distributed Systems Workshop (SRDSW 2015), Montréal, Québec. External link
Hawedi, M., Talhi, C., & Boucheneb, H. (2018). Multi-tenant intrusion detection system for public cloud (MTIDS). Journal of Supercomputing, 74(10), 5199-5230. External link
Hawedi, M., Talhi, C., & Boucheneb, H. (2018, May). Security as a service for public cloud tenants (SaaS) [Paper]. 8th International Symposium on Frontiers in Ambient and Mobile Systems (FAMS 2018), Porto, Portugal. Published in Procedia Computer Science, 130. Available
Meftah, A., Do, T. N., Kaddoum, G., & Talhi, C. (2024). Federated learning-enabled jamming detection for stochastic terrestrial and non-terrestrial networks. IEEE Transactions on Green Communications and Networking, 3425792 (19 pages). External link
Meftah, A., Kaddoum, G., Do, T. N., & Talhi, C. (2022, November). Federated Learning-Based Jamming Detection for Distributed Tactical Wireless Networks [Paper]. IEEE Military Communications Conference (MILCOM 2022), Rockville, MD, USA. External link
Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Wahab, O. A., Mizouni, R., Bentahar, J., Talhi, C., Dziong, Z., Damiani, E., & Guizani, M. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys and Tutorials, 3392642 (49 pages). External link
Yassin, M., Ould-Slimane, H., Talhi, C., & Boucheneb, H. (2022). Multi-Tenant Intrusion Detection Framework as a Service for SaaS. IEEE Transactions on Services Computing, 15(5), 2925-2938. External link
Yassin, M., Talhi, C., & Boucheneb, H. (2019). ITADP: An inter-tenant attack detection and prevention framework for multi-tenant SaaS. Journal of Information Security and Applications, 49, 15 pages. External link
Yassin, M., Ould-Slimane, H., Talhi, C., & Boucheneb, H. (2017, June). SQLIIDaaS: A SQL injection intrusion detection framework as a service for SAAS providers [Paper]. 4th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2017), New York, New York. External link
