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

[BibT_eX]

[DOI]

Joshua H. Tyler

Mohamed K. M. Fadul

Donald R. Reising

Inf., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

RF Fingerprint-based Identity Verification in the Presence of an SEI Mimicking Adversary.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2023

Protecting Legitimate SEI Security Approaches from Phase-Based Obfuscation Attacks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Access, 2022

An Assessment of Entropy-Based Data Reduction for SEI Within IoT Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Military Communications Conference, 2022

An Analysis of Signal Energy Impacts and Threats to Deep Learning Based SEI.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Assessing the Presence of Intentional Waveform Structure In Preamble-based SEI.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

An Analysis of Process Parameters for the Optimization of Specific Emitter Identification Under Rayleigh Fading.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

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

[BibT_eX]

[DOI]

Mohamed K. M. Fadul

Donald R. Reising

Mina Sartipi

IEEE Access, 2021

Adversarial Machine Learning for Enhanced Spread Spectrum Communications.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Simplified Denoising for Robust Specific Emitter Identification of Preamble-based Waveforms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

RF-DNA Fingerprint Classification of OFDM Signals Using a Rayleigh Fading Channel Model.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Mohamed K. M. Fadul

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