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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.
Jabbarifar, M., Dagenais, M., & Shameli-Sendi, A. (2015). Online Incremental Clock Synchronization. Journal of Network and Systems Management, 23(4), 1034-1066. External link
Khanahmadi, M., Shameli-Sendi, A., Jabbarifar, M., Fournier, Q., & Dagenais, M. (2023). Detection of microservice-based software anomalies based on OpenTracing in cloud. Software: Practice and Experience, 53(8), 1681-1699. External link
Khodayarseresht, E., Shameli-Sendi, A., Fournier, Q., & Dagenais, M. (2023). Energy and carbon-aware initial VM placement in geographically distributed cloud data centers. Sustainable Computing: Informatics and Systems, 39, 11 pages. External link
Osmanpoor, M., Shameli-Sendi, A., & Daneshgar, F. F. (2024). Convergence of the Harris hawks optimization algorithm and fuzzy system for cloud-based task scheduling enhancement. Cluster Computing-the Journal of Networks Software Tools and Applications, 15 pages. External link
Shameli-Sendi, A., Dagenais, M., & Wang, L. (2018). Realtime intrusion risk assessment model based on attack and service dependency graphs. Computer Communications, 116, 253-272. External link
Shameli-Sendi, A., & Dagenais, M. (2015). ORCEF: Online response cost evaluation framework for intrusion response system. Journal of Network and Computer Applications, 55, 89-107. External link
Shameli-Sendi, A., & Dagenais, M. (2014). ARITO: Cyber-attack response system using accurate risk impact tolerance. International Journal of Information Security, 13(4), 367-390. External link
Shameli-Sendi, A., Desfossez, J., Dagenais, M., & Jabbarifar, M. (2013). A retroactive-burst framework for automated intrusion response system. Journal of Computer Networks and Communications, 2013, 1-8. Available
Shameli-Sendi, A., Shajari, M., Hassanabadi, M., Jabbarifar, M., & Dagenais, M. (2012). Fuzzy multi-criteria decision-making for information security risk assessment. Open Cybernetics and Systemics Journal, 6(1), 26-37. External link
Shameli-Sendi, A., Ezzati-jivan, N., Jabbarifar, M., & Dagenais, M. (2012). Intrusion response systems: survey and taxonomy. International Journal of Computer Science and Network Security, 12(1), 1-14. External link
Shameli-Sendi, A., Jabbarifar, M., Dagenais, M., & Shajari, M. (2012). System health monitoring using a novel method : security unified process. Journal of Computer Networks and Communications, 2012, 1-20. Available