Safa Otoum

Orcid: 0000-0002-0814-7328

According to our database1, Safa Otoum authored at least 53 papers between 2015 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Digital Healthcare in the Metaverse: Insights into Privacy and Security.
IEEE Consumer Electron. Mag., May, 2024

2023
Management of Digital Twin-Driven IoT Using Federated Learning.
IEEE J. Sel. Areas Commun., November, 2023

On the privacy and security for e-health services in the metaverse: An overview.
Ad Hoc Networks, November, 2023

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme.
IEEE Internet Things J., September, 2023

A Federated Learning and Blockchain-Enabled Sustainable Energy Trade at the Edge: A Framework for Industry 4.0.
IEEE Internet Things J., February, 2023

On the Feasibility of Split Learning, Transfer Learning and Federated Learning for Preserving Security in ITS Systems.
IEEE Trans. Intell. Transp. Syst., 2023

On the feasibility of Federated Learning towards on-demand client deployment at the edge.
Inf. Process. Manag., 2023

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices.
IEEE Internet Things J., 2023

Global Differential Privacy for Distributed Metaverse Healthcare Systems.
CoRR, 2023

Decentralized Zero-Trust Framework for Digital Twin-based 6G.
CoRR, 2023

Towards Boosting Federated Learning Convergence: A Computation Offloading & Clustering Approach.
Proceedings of the IEEE International Conference on Communications, 2023

FLDetect: An API-Based Ransomware Detection Using Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach.
Proceedings of the IEEE Global Communications Conference, 2023

Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis.
Proceedings of the IEEE Intl Conf on Dependable, 2023

On the Viability of Federated Deep Autoencoder for Botnet Threat Detection.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Modeling and Evaluation of the Internet of Things Communication Protocols in Security Constrained Systems.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Towards Privacy-Aware Federated Learning for User-Sensitive Data.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022
VeNet: Hybrid Stacked Autoencoder Learning for Cooperative Edge Intelligence in IoV.
IEEE Trans. Intell. Transp. Syst., 2022

Supporting Next-Generation Network Management with Intelligent Moving Devices.
IEEE Netw., 2022

Securing Critical IoT Infrastructures With Blockchain-Supported Federated Learning.
IEEE Internet Things J., 2022

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme.
CoRR, 2022

A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection.
CoRR, 2022

Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence.
Clust. Comput., 2022

Realizing Health 4.0 in Beyond 5G Networks.
Proceedings of the IEEE International Conference on Communications, 2022

A Hybrid Edge-assisted Machine Learning Approach for Detecting Heart Disease.
Proceedings of the IEEE International Conference on Communications, 2022

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory.
Proceedings of the IEEE Global Communications Conference, 2022

AI-Enabled Health 4.0: An IoT-Based COVID-19 Diagnosis Use-Case.
Proceedings of the IEEE Global Communications Conference, 2022

On the Feasibility of Federated Learning for Neurodevelopmental Disorders: ASD Detection Use-Case.
Proceedings of the IEEE Global Communications Conference, 2022

Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions.
IEEE Wirel. Commun., 2021

A Comparative Study of AI-Based Intrusion Detection Techniques in Critical Infrastructures.
ACM Trans. Internet Techn., 2021

Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model.
ACM Trans. Internet Techn., 2021

Generalizing AI: Challenges and Opportunities for Plug and Play AI Solutions.
IEEE Netw., 2021

Preventing and Controlling Epidemics Through Blockchain-Assisted AI-Enabled Networks.
IEEE Netw., 2021

A Survey on Blockchain for Information Systems Management and Security.
Inf. Process. Manag., 2021

DHT-based Communications Survey: Architectures and Use Cases.
CoRR, 2021

Federated Reinforcement Learning-Supported IDS for IoT-steered Healthcare Systems.
Proceedings of the ICC 2021, 2021

A Novel Deep Reinforcement Learning-based Approach for Task-offloading in Vehicular Networks.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Low-latency vehicular edge: A vehicular infrastructure model for 5G.
Simul. Model. Pract. Theory, 2020

Blockchain for Managing Heterogeneous Internet of Things: A Perspective Architecture.
IEEE Netw., 2020

Blockchain-based database in an IoT environment: challenges, opportunities, and analysis.
Clust. Comput., 2020

Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks.
Ad Hoc Networks, 2020

Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance.
Proceedings of the NOMS 2020, 2020

A Novel Ensemble Method for Advanced Intrusion Detection in Wireless Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks.
Proceedings of the IEEE Global Communications Conference, 2020

An IoT-Based Non-invasive Diabetics Monitoring System for Crucial Conditions.
Proceedings of the Ad Hoc Networks - 12th EAI International Conference, 2020

2019
On the Feasibility of Deep Learning in Sensor Network Intrusion Detection.
IEEE Netw. Lett., 2019

An intrusion detection system for connected vehicles in smart cities.
Ad Hoc Networks, 2019

Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Mitigating False Negative intruder decisions in WSN-based Smart Grid monitoring.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Hierarchical trust-based black-hole detection in WSN-based smart grid monitoring.
Proceedings of the IEEE International Conference on Communications, 2017

2015
Sensor Medium Access Control (SMAC)-based epilepsy patients monitoring system.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015


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