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This 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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A 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.
Al Mallah, R., López, D., & Halabi, T. (2023, February). Blockchain-enabled efficient and secure federated learning in IoT and edge computing networks [Paper]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. External link
Al Mallah, R., López, D., Badu-Marfo, G., & Farooq, B. (2023). Untargeted poisoning attack detection in federated learning via behavior attestationAI. IEEE Access, 11, 125064-125079. External link
Al Mallah, R., & López, D. (2022, November). Blockchain-based monitoring for poison attack detection in decentralized federated learning [Paper]. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Maldives, Maldives (6 pages). External link
Al Mallah, R., López, D., & Farooq, B. (2021). Cyber-security risk assessment framework for blockchains in smart mobility. IEEE Open Journal of Intelligent Transportation Systems, 2, 294-311. External link
López, D., Farooq, B., & Al Mallah, R. (2023, July). Adapting detection in blockchain-enabled federated learning for IoT networks [Paper]. 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Tenerife, Canary Islands, Spain (6 pages). External link