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Joshua H. Tyler
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2020 – today
- 2024
- [j5]Mohamed A. Taha, Mohamed K. M. Fadul, Joshua H. Tyler, Donald R. Reising, T. Daniel Loveless:
Enhancing internet of things security using entropy-informed RF-DNA fingerprint learning from Gabor-based images. EURASIP J. Inf. Secur. 2024(1): 27 (2024) - [j4]Jonathan D. Boyd, Joshua H. Tyler, Anthony M. Murphy, Donald R. Reising
:
Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification within a Power Transmission System. Sensors 24(2): 483 (2024) - [j3]Mohamed K. M. Fadul
, Donald R. Reising
, Lakmali P. Weerasena, T. Daniel Loveless
, Mina Sartipi, Joshua H. Tyler
:
Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. 19: 3194-3209 (2024) - [c9]Joshua H. Tyler, Donald R. Reising, Mohamed K. M. Fadul, Mina Sartipi:
Assessing Time Offset and Classifier Impacts on Preamble-based Cross-Collection SEI. CCNC 2024: 180-187 - 2023
- [j2]Joshua H. Tyler
, Mohamed K. M. Fadul, Donald R. Reising
:
Considerations, Advances, and Challenges Associated with the Use of Specific Emitter Identification in the Security of Internet of Things Deployments: A Survey. Inf. 14(9): 479 (2023) - [c8]Joshua H. Tyler, Donald R. Reising, Mohamed K. M. Fadul, Mina Sartipi:
Protecting Legitimate SEI Security Approaches from Phase-Based Obfuscation Attacks. ICC 2023: 1425-1431 - [c7]Cinque S. Peggs, Tanner S. Jackson, Ashley N. Tittlebaugh, Taylor G. Olp, Joshua H. Tyler, Donald R. Reising, T. Daniel Loveless:
Preamble-based RF-DNA Fingerprinting Under Varying Temperatures. MECO 2023: 1-8 - [c6]Awab A. H. Mohammed, Mohamed A. Taha, Joshua H. Tyler, Mohamed K. M. Fadul, Donald R. Reising, T. Daniel Loveless:
CNN-based Emitter ID-Verification and Rogue Emitter Rejection for IoT Networks using Entropy-Informed RF-DNA Fingerprints. MILCOM 2023: 377-384 - [c5]Donald R. Reising, Joshua H. Tyler, Mohamed K. M. Fadul, Matthew R. Hilling, T. Daniel Loveless:
RF Fingerprint-based Identity Verification in the Presence of an SEI Mimicking Adversary. WiMob 2023: 438-444 - [i1]Jonathan D. Boyd, Joshua H. Tyler, Anthony M. Murphy, Donald R. Reising:
Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification Within a Power Transmission System. CoRR abs/2309.04361 (2023) - 2022
- [j1]Joshua H. Tyler, Donald R. Reising
, Farah I. Kandah
, Erkan Kaplanoglu
, Mohamed K. M. Fadul:
Physical Layer-Based IoT Security: An Investigation Into Improving Preamble-Based SEI Performance When Using Multiple Waveform Collections. IEEE Access 10: 133601-133616 (2022) - [c4]Joshua H. Tyler, Mohamed K. M. Fadul, Donald R. Reising, Yu Liang:
Assessing the Presence of Intentional Waveform Structure In Preamble-based SEI. GLOBECOM 2022: 4129-4135 - [c3]Joshua H. Tyler, Mohamed K. M. Fadul, Donald R. Reising, Farah I. Kandah
:
An Analysis of Signal Energy Impacts and Threats to Deep Learning Based SEI. ICC 2022: 2077-2083 - [c2]Mohamed A. Taha, Mohamed K. M. Fadul, Joshua H. Tyler, Donald R. Reising, T. Daniel Loveless:
An Assessment of Entropy-Based Data Reduction for SEI Within IoT Applications. MILCOM 2022: 385-392 - 2021
- [c1]Joshua H. Tyler, Mohamed K. M. Fadul, Donald R. Reising, Erkan Kaplanoglu
:
Simplified Denoising for Robust Specific Emitter Identification of Preamble-based Waveforms. GLOBECOM 2021: 1-7
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