Mohamed Rahouti

Orcid: 0000-0001-9701-5505

According to our database1, Mohamed Rahouti authored at least 63 papers between 2017 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial Analysis.
J. Netw. Syst. Manag., March, 2025

2024
Blockchain-Based Trustworthiness in Cross-Border Data Exchange in 5G-Powered Intelligent Connected Vehicles.
IEEE Netw., November, 2024

Empowering UAV Communications with AI-Assisted Software-Defined Networks: A Review on Performance, Security, and Efficiency.
J. Netw. Syst. Manag., October, 2024

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness.
IEEE Internet Things Mag., September, 2024

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece.
IEEE Internet Things Mag., January, 2024

Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques.
IEEE Internet Things J., January, 2024

Predicting Bitcoin Market Trends with Enhanced Technical Indicator Integration and Classification Models.
CoRR, 2024

Optimizing Control Strategies for Wheeled Mobile Robots Using Fuzzy Type I and II Controllers and Parallel Distributed Compensation.
CoRR, 2024

Gene and RNA Editing: Methods, Enabling Technologies, Applications, and Future Directions.
CoRR, 2024

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators.
CoRR, 2024

Nonlinear Transformations Against Unlearnable Datasets.
CoRR, 2024

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
CoRR, 2024

Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling.
CoRR, 2024

Detection and Mitigation of Distributed Denial of Service Attacks Using Ensemble Learning and Honeypots in a Novel SDN-UAV Network Architecture.
IEEE Access, 2024

DeepImageDroid: A Hybrid Framework Leveraging Visual Transformers and Convolutional Neural Networks for Robust Android Malware Detection.
IEEE Access, 2024

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey.
IEEE Access, 2024

Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Improving Multi-Robot Visual Navigation Using Cooperative Consensus.
Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

Memory Feature Engineering for Performance-Gain in Obfuscated Malware Detection Using Machine Learning and Sensitivity Analysis.
Proceedings of the IEEE Pacific Rim Conference on Communications, 2024

Precision DDoS Detection through Gaussian Noise-Augmented Neural Networks.
Proceedings of the 15th International Conference on Network of the Future, 2024

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

RoboStake: Pioneering Cooperative Navigation with a Novel Blockchain-Powered Proof-of-Stake in Robotic Teams.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2023
Fault Tolerance and Failure Recovery Techniques in Software-Defined Networking: A Comprehensive Approach.
J. Netw. Syst. Manag., October, 2023

A Decentralized Cooperative Navigation Approach for Visual Homing Networks.
IT Prof., 2023

Blockchain-Based Security Architecture for Unmanned Aerial Vehicles in B5G/6G Services and Beyond: A Comprehensive Approach.
CoRR, 2023

Ransomware Detection Using Federated Learning with Imbalanced Datasets.
CoRR, 2023

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey.
CoRR, 2023

Rediscovering Fraud Detection in Bitcoin Transactions Using Machine Learning Models.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Assessing Blockchain Consensus in Robotics: A Visual Homing Approach.
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

An Approach to Cooperative, Wide Area Visual Navigation by Leveraging Blockchain Consensus.
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

WAVN: Wide Area Visual Navigation for Large-scale, GPS-denied Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Enhancing ML-Based DoS Attack Detection with Feature Engineering : IEEE CNS 23 Poster.
Proceedings of the IEEE Conference on Communications and Network Security, 2023

Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis.
Proceedings of the IEEE Conference on Communications and Network Security, 2023

Psychological Information Sharing Using Ethereum Blockchain and Smart Contracts.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022
Anomaly detection in blockchain using network representation and machine learning.
Secur. Priv., 2022

Building Digital Twins of Cyber Physical Systems With Metaverse for Industry 5.0 and Beyond.
IT Prof., 2022

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions.
IEEE Internet Things J., 2022

SFC Provisioning With Load Balancing Method in Multi-Tier Fog Networks.
IEEE Netw. Lett., 2022

VRChain: A Blockchain-Enabled Framework for Visual Homing and Navigation Robots.
CoRR, 2022

SDN Security Review: Threat Taxonomy, Implications, and Open Challenges.
IEEE Access, 2022

Music Genre Classification and Feature Comparison using ML.
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

Developing Blockchain Learning Lab Experiments for Enhancing Cybersecurity Knowledge and Hands-On Skills in the Cloud.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

ScreenCoin: A Blockchain-Enabled Decentralized Ad Network.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Incremental Learning Implementations and Vision for Cyber Risk Detection in IoT.
IEEE Internet Things Mag., 2021

SYNGuard: Dynamic threshold-based SYN flood attack detection and mitigation in software-defined networks.
IET Networks, 2021

ML Attack Models: Adversarial Attacks and Data Poisoning Attacks.
CoRR, 2021

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions.
CoRR, 2021

Secure Software-Defined Networking Communication Systems for Smart Cities: Current Status, Challenges, and Trends.
IEEE Access, 2021

QoSP: A Priority-Based Queueing Mechanism in Software-Defined Networking Environments.
Proceedings of the IEEE International Performance, 2021

Can the Inter Planetary File System Become an Alternative to Centralized Architectures?
Proceedings of the Human Interaction, Emerging Technologies and Future Systems V, 2021

A Priority-Based Queueing Mechanism in Software-Defined Networking Environments.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
Prototyping an SDN Control Framework for QoS Guarantees.
Proceedings of the Tools for Design, Implementation and Verification of Emerging Information Technologies, 2020

Combining Blockchain and Machine Learning to Forecast Cryptocurrency Prices.
Proceedings of the 2020 Second International Conference on Blockchain Computing and Applications, 2020

2019
A Review of Recent Advances and Security Challenges in Emerging E-Enabled Aircraft Systems.
IEEE Access, 2019

An Efficient Multi-Objective Resiliency Scheme for Routing of Virtual Functions in Failure Scenarios.
Proceedings of the 6th International Conference on Software Defined Systems, 2019

LatencySmasher: A Software-Defined Networking-Based Framework for End-to-End Latency Optimization.
Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019

A Preemption-Based Timely Software Defined Networking Framework for Emergency Response Traffic Delivery.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A Customized Educational Booster for Online Students in Cybersecurity Education.
Proceedings of the 11th International Conference on Computer Supported Education, 2019

2018
Kernel-Space Intrusion Detection Using Software-Defined Networking.
EAI Endorsed Trans. Security Safety, 2018

Bitcoin Concepts, Threats, and Machine-Learning Security Solutions.
IEEE Access, 2018

2017
SDN-Based Kernel Modular Countermeasure for Intrusion Detection.
Proceedings of the Security and Privacy in Communication Networks, 2017

End-to-End Delay Minimization Approaches Using Software-Defined Networking.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017


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