Mutaz Barika

Orcid: 0000-0002-9146-2459

According to our database1, Mutaz Barika authored at least 15 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Masking-Watermarking Cooperative: An End-to-End Adversarial Protection Framework for Secure Text Distribution and Sharing.
IEEE Trans. Computers, May, 2026

Cybersecurity Challenges in the EV Charging Ecosystem.
ACM Comput. Surv., January, 2026

2025
A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles.
IEEE Internet Things J., October, 2025

A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles.
CoRR, May, 2025

2024
Research allocation in mobile volunteer computing system: Taxonomy, challenges and future work.
Future Gener. Comput. Syst., 2024

2022
Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments.
IEEE Trans. Serv. Comput., 2022

A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues.
J. Ind. Inf. Integr., 2022

2021
Online Scheduling Technique To Handle Data Velocity Changes in Stream Workflows.
IEEE Trans. Parallel Distributed Syst., 2021

Detection of SLA Violation for Big Data Analytics Applications in Cloud.
IEEE Trans. Computers, 2021

SLA Management for Big Data Analytical Applications in Clouds: A Taxonomy Study.
ACM Comput. Surv., 2021

2020
IoTSim-SDWAN: A simulation framework for interconnecting distributed datacenters over Software-Defined Wide Area Network (SD-WAN).
J. Parallel Distributed Comput., 2020

Cost effective stream workflow scheduling to handle application structural changes.
Future Gener. Comput. Syst., 2020

2019
IoTSim-Stream: Modelling stream graph application in cloud simulation.
Future Gener. Comput. Syst., 2019

Orchestrating Big Data Analysis Workflows in the Cloud: Research Challenges, Survey, and Future Directions.
ACM Comput. Surv., 2019

Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows.
CoRR, 2019


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