Joshua H. Tyler
Orcid: 0009-0000-9566-8043
According to our database1,
Joshua H. Tyler
authored at least 17 papers
between 2021 and 2024.
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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
Assessing adversarial replay and deep learning-driven attacks on specific emitter identification-based security approaches.
Discov. Internet Things, December, 2024
Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification within a Power Transmission System.
Sensors, January, 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
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
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
Proceedings of the 12th Mediterranean Conference on Embedded Computing, 2023
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
Proceedings of the IEEE Military Communications Conference, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Simplified Denoising for Robust Specific Emitter Identification of Preamble-based Waveforms.
Proceedings of the IEEE Global Communications Conference, 2021