Feras M. Awaysheh

Orcid: 0000-0002-9561-6099

According to our database1, Feras M. Awaysheh authored at least 27 papers between 2017 and 2024.

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Bibliography

2024
FedCSD: A Federated Learning Based Approach for Code-Smell Detection.
IEEE Access, 2024

2023
FedCSD: A Federated Learning Based Approach for Code-Smell Detection.
CoRR, 2023

An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Big Data Analytics from the Rich Cloud to the Frugal Edge.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Analyzing Edge IoT Digital Forensics Tools: Cyber Attacks Reconstruction and Anti-Forensics Enhancements.
Proceedings of the IEEE Intl Conf on Dependable, 2023

OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Security by Design for Big Data Frameworks Over Cloud Computing.
IEEE Trans. Engineering Management, 2022

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems.
Sensors, 2022

FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT.
Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022

EdgeFNF: Toward Real-time Fake News Detection on Mobile Edge Computing.
Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022

SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles.
IEEE Trans. Ind. Informatics, 2021

A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles.
Sensors, 2021

Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions.
IEEE Commun. Surv. Tutorials, 2021

Active Machine Learning Adversarial Attack Detection in the User Feedback Process.
IEEE Access, 2021

Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence.
Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

Arabic Question Answering System for Information Retrieval on Large-scale Image Objects.
Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL.
Proceedings of the 23rd International Workshop on Design, 2021

Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud.
IEEE Trans. Ind. Informatics, 2020

Next-generation big data federation access control: A reference model.
Future Gener. Comput. Syst., 2020

A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends.
Proceedings of the International Computer Symposium, 2020

2019
Big Data Security Frameworks Meet the Intelligent Transportation Systems Trust Challenges.
Proceedings of the 18th IEEE International Conference On Trust, 2019

Common Security Criteria for Vehicular Clouds and Internet of Vehicles Evaluation and Selection.
Proceedings of the 18th IEEE International Conference On Trust, 2019

Poster: A Pluggable Authentication Module for Big Data Federation Architecture.
Proceedings of the 24th ACM Symposium on Access Control Models and Technologies, 2019

2017
EME: An Automated, Elastic and Efficient Prototype for Provisioning Hadoop Clusters On-demand.
Proceedings of the CLOSER 2017, 2017


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