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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.
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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.
Moudoud, H., & Cherkaoui, S. (2023). Empowering security and trust in 5G and beyond : a deep reinforcement learning approach. IEEE Open Journal of the Communications Society, 4, 2410-2420. Available
Moudoud, H., & Cherkaoui, S. (2023, December). Enhancing Open RAN Security with Zero Trust and Machine Learning [Paper]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. External link
Moudoud, H., & Cherkaoui, S. (2023, June). Federated Learning Meets Blockchain to Secure the Metaverse [Paper]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. External link
Moudoud, H., & Cherkaoui, S. (2023). Multi-tasking federated learning meets blockchain to foster trust and security in the Metaverse. Ad Hoc Networks, 150, 17 pages. External link
Moudoud, H., Hamhoum, W., & Cherkaoui, S. (2023, December). Strengthening Open Radio Access Networks: Advancing Safeguards Through ZTA and Deep Learning [Paper]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. External link
Moudoud, H., & Cherkaoui, S. (2022, December). Toward Secure and Private Federated Learning for IoT using Blockchain [Paper]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. External link
Moudoud, H., Mlika, Z., Khoukhi, L., & Cherkaoui, S. (2022). Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model. IEEE Transactions on Network Science and Engineering, 9(5), 2978-2990. External link
Moudoud, H., Khoukhi, L., & Cherkaoui, S. (2021). Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT. IEEE Network, 35(2), 194-201. External link
Moudoud, H., Cherkaoui, S., & Khoukhi, L. (2021, June). Towards a Scalable and Trustworthy Blockchain: IoT Use Case [Paper]. IEEE International Conference on Communications (ICC 2021), Montreal, Qc, Canada (6 pages). External link
Moudoud, H., Cherkaoui, S., & Khoukhi, L. (2021, December). Towards a secure and reliable federated learning using blockchain [Paper]. IEEE Global Communications Conference (IEEE GLOBAL 2021), Madrid, Spain. External link
Moudoud, H., Cherkaoui, S., & Khoukhi, L. (2019, September). An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain [Paper]. 30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2019), Istanbul, Turkey (6 pages). External link
Taïk, A., Moudoud, H., & Cherkaoui, S. (2021, October). Data-Quality Based Scheduling for Federated Edge Learning [Paper]. 46th IEEE Conference on Local Computer Networks (LCN 2021), Edmonton, AB, Canada (7 pages). External link
