Mohamed K. M. Fadul

Orcid: 0000-0003-4392-3385

According to our database1, Mohamed K. M. Fadul authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Enhancing internet of things security using entropy-informed RF-DNA fingerprint learning from Gabor-based images.
EURASIP J. Inf. Secur., December, 2024

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning.
IEEE Trans. Inf. Forensics Secur., 2024

Improved RF Fingerprint-based Identity Verification in the Presence of an SEI Mimicking Adversary.
J. Cyber Secur. Mobil., 2024

Enhanced Communications Security via End-to-End Deep Adversarial Learning-driven Encoding.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Assessing Time Offset and Classifier Impacts on Preamble-based Cross-Collection SEI.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Considerations, Advances, and Challenges Associated with the Use of Specific Emitter Identification in the Security of Internet of Things Deployments: A Survey.
Inf., 2023

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning.
CoRR, 2023

RF Fingerprint-based Identity Verification in the Presence of an SEI Mimicking Adversary.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

CNN-based Emitter ID-Verification and Rogue Emitter Rejection for IoT Networks using Entropy-Informed RF-DNA Fingerprints.
Proceedings of the IEEE Military Communications Conference, 2023

Protecting Legitimate SEI Security Approaches from Phase-Based Obfuscation Attacks.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Physical Layer-Based IoT Security: An Investigation Into Improving Preamble-Based SEI Performance When Using Multiple Waveform Collections.
IEEE Access, 2022

An Assessment of Entropy-Based Data Reduction for SEI Within IoT Applications.
Proceedings of the IEEE Military Communications Conference, 2022

An Analysis of Signal Energy Impacts and Threats to Deep Learning Based SEI.
Proceedings of the IEEE International Conference on Communications, 2022

Assessing the Presence of Intentional Waveform Structure In Preamble-based SEI.
Proceedings of the IEEE Global Communications Conference, 2022

An Analysis of Process Parameters for the Optimization of Specific Emitter Identification Under Rayleigh Fading.
Proceedings of the Internet of Things, 2022

2021
Nelder-Mead Simplex Channel Estimation for the RF-DNA Fingerprinting of OFDM Transmitters Under Rayleigh Fading Conditions.
IEEE Trans. Inf. Forensics Secur., 2021

Identification of OFDM-Based Radios Under Rayleigh Fading Using RF-DNA and Deep Learning.
IEEE Access, 2021

Adversarial Machine Learning for Enhanced Spread Spectrum Communications.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Simplified Denoising for Robust Specific Emitter Identification of Preamble-based Waveforms.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Preprint: Using RF-DNA Fingerprints To Classify OFDM Transmitters Under Rayleigh Fading Conditions.
CoRR, 2020

2019
RF-DNA Fingerprint Classification of OFDM Signals Using a Rayleigh Fading Channel Model.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019


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