Zakaria Alomari

Orcid: 0000-0003-1222-9833

Affiliations:
  • New York Institute of Technology, Department of Computer Science, Vancouver, BC, Canada
  • University of Quebec, Montreal, QC, Canada (PhD 2022)
  • École de Technologie Supérieure (ÉTS), Software and Information Technology Engineering Department, Montreal, QC, Canada (2018)


According to our database1, Zakaria Alomari authored at least 17 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Automated Disaster Recovery as a Service: A Continuous Resilience Approach for Cloud Environments.
IEEE Trans. Cloud Comput., 2026

2025
Boosted Ensemble Voting for Intrusion Detection: A SHAP-Driven Analysis of XGBoost and CatBoost.
Proceedings of the 2025 IEEE International Conference on Service Operations and Logistics, 2025

Enhancing Border Gateway Protocol Security: Comparing Traditional, Deep, and Fast Machine Learning Models.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2025

LlamaIDS: Real-Time Detection Model of Zero-Day Intrusions Using Large Language Models.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2025

SecPassGAN: Secure and Strong Password Generation Framework.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2025

2024
Improvement in task allocation for VM and reduction of Makespan in IaaS model for cloud computing.
Clust. Comput., November, 2024

Pricing the cloud based on multi-attribute auction mechanism.
Clust. Comput., 2024

Outsourcing Attribute-Based Encryption to Enhance IoT Security and Performance.
IEEE Access, 2024

Knowledge Graph to Facilitate Cloud Security Compliance with NIST Cybersecurity Framework.
Proceedings of the 2nd International Conference on Computer, 2024

Network Intrusion Detection with CNNs: A Comparative Study of Deep Learning and Machine Learning Models.
Proceedings of the 2nd International Conference on Computer, 2024

Lightweight Machine Learning-Based IDS for IoT Environments.
Proceedings of the 8th Cyber Security in Networking Conference, 2024

2023
On Ensuring Full Yet Cost-Efficient Survivability of Service Function Chains in NFV Environments.
J. Netw. Syst. Manag., July, 2023

Towards optimal synchronization in NFV-based environments.
Int. J. Netw. Manag., 2023

2020
On Minimizing Synchronization Cost in NFV-based Environments.
Proceedings of the 16th International Conference on Network and Service Management, 2020

2015
Comparative Studies of Six Programming Languages.
CoRR, 2015

Multiplayer Games and their Need for Scalable and Secure State Management.
CoRR, 2015

2014
Toward Refactoring of DMARF and GIPSY Case Studies a Team 7 SOEN6471-S14 Project Report.
CoRR, 2014


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