Book Chapters:

B1. D. Gupta, L. A. Kavuri, L. Elluri, L. N. Kandel, and N. Nader, “NextGen Strategies and Tools: Pioneering Innovation in Agriculture”, CRC Press, 2025 (Accepted)

Journal Publication:

J4. Webb, and L. N. Kandel, “Comparative Performance Analysis of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study on FaaS and IaaS Platform”, IEEE Access, 2025 (In Preparation, First Round of Reviews Received).

J3. Dhakal R, L. N. Kandel, Shekhar P., " Radio Frequency Fingerprinting Authentication for IoT Networks Using Siamese Networks". IoT. 2025; 6(3):47. https://doi.org/10.3390/iot6030047.

J2. R. Dhakal, W. Raza, V. Tummala and L. N. Kandel, “Enhancing Intrusion Detection in IoT Networks Through Federated Learning,” in IEEE Access, vol. 12, pp. 167168-167182, 2024, doi: 10.1109/ACCESS.2024.3495702.

J1. Dhakal, Raju, and L. N. Kandel. ”Physical-Layer-Based UAV Identification: A Comprehensive Review." Journal of Aerospace Information Systems (2025): 1-19.

Conference Publications

C27. Stefanov, M., Stefanov, K., Kandel, L. N., Crouse, S., Jekov, B. (2025). Autonomous Agentic AI architectures for optimizing Security Operations Centers (SOC) KPIS: Methodology, impact on detection, response, and recovery. Land Forces Academy Review, 30(3), 479–493. https://doi.org/10.2478/raft-2025-0046

C26. V. Li, J. Villa, J. Clifford, D. Diessner, and L. N. Kandel, ”C/N0 analysis-based GPS spoofing detection with variable antenna orientation,” in Proc. IEEE 5th Cyber Awareness and Research Symposium (CARS 2025), Univ. of North Dakota, Grand Forks, ND, USA, 2025. (Accepted)

C25. Dhakal, R., Sekher, P., Kandel, L. N. (2025). “Adversarial-resilient RF fingerprinting: A CNN-GAN framework for rogue transmitter detection”. In 24th International Conference on Machine Learning and Applications (ICMLA), Boca Raton, Florida, USA. (Accepted)

C24. Okatan, A. S., Akba¸s, M. ˙I., Kandel, L. N., Pekoz, B. “Keys in the Weights: Transformer Authentication Using Model-Bound Latent Representations”. In IEEE 5th Cyber Awareness and Research Symposium 2025 (CARS), University of North Dakota, Grand Forks, ND, USA. (Accepted)

C23. Okatan, A. S., Akba¸s, M. ˙I., Kandel, L. N., Pekoz, B. “Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer”. In IEEE 5th Cyber Awareness and Research Symposium 2025 (CARS), University of North Dakota, Grand Forks, ND, USA. (Accepted)

C22. Gharami K., Moni S. Showkat, Kandel L.N., “Siamese mViT: Lightweight Biometric Facial Recognition for Edge Devices” In IEEE 5th Cyber Awareness and Research Symposium 2025 (CARS), University of North Dakota, Grand Forks, ND, USA.(Accepted)

C21. M. Durieux, K. Taylor, L. N. Kandel and D. Gupta, “GPS Spoofing Attacks and Pilot Responses Using A Flight Simulator Environment”, The 7th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, Pittsburgh, PA, USA, 2025. (Accepted)

C20. B. D. Poudel and L. N. Kandel, “Applying Deep Learning Approaches for GPS Detection of UAV with Explainable AI”, 2025 DASC, Montereal, Canada. (Accepted)

C19. T. Delbos, K. D. Taylor, L. N. Kandel and R. F. Babiceanu, “Evaluating Pilot Response to ADS-B Attacks Using Flight Simulator and Low-Cost SDR”, 2025 DASC, Montreal, Canada. (Accepted)

C18. V. Kulothungan, D. Gupta and L. N. Kandel,“Democratizing Cybercrime: Risks and Countermeasures of AI-Enabled Attacks”, 2025 IEEE 11the World Forum on Internet of Things (WF-IoT),Chengdu,China. (Accepted)

C17. K. D. Taylor, J. L. Radjavitch, and L. N. Kandel,“WIP: Integrating Accessible Learning Labs: an Exploration of Faculty Experiences”, 2025 IEEE Frontiers in Education Conference (FIE),Nashville, Tennessee. (Accepted)

C16. R. Razdan, J. Vargas, I. Akabas, S. O. Alswelss, A. Cheatham, K. Ford, E. Horvath, L. N. Kandel and M. Musa, “Product Assurance in the Age of Artificial Intelligence”, No. EPR2025011. SAE Technical Paper, 2025.

C15. P. Shekhar, B. Devkota, D. Samaraweera, L. N. Kandel and M. Babu, “Do Adversarial Patches Generalize? Attack Transferability Study Across Real-Time Segmentation Models in Autonomous Vehicles,” 2025 IEEE Security and Privacy Workshops (SPW), San Francisco, CA, USA, 2025, pp. 322-328, doi: 10.1109/SPW67851.2025.00045.

C14. L. Luna, M. Berkowitz, and S. Jansen-Sanchez and L. N. Kandel,“Dueling Deep Q-Learning for Intrusion Detection”, IEEE SoutheastCon 2025, Concord (Charlotte), NC.

C13. B.P. Devkota, B. Devkota, and L. N. Kandel,“Leveraging Tree-based Machine Learning and Explainable AI for UAV GPS Spoofing Detection”, IEEE SoutheastCon 2025, Concord (Charlotte), NC.

C12. Shekhar, P., Devkota, B., Samaraweera, D., L. N. Kandel, Babu, M. (2025). “Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving”. arXiv preprint arXiv:2502.16012.”

C11. R. Dhakal, B.P. Devkota, and L. N. Kandel,“Radio Frequency Fingerprinting With Siamese Network”, 2024 International Conference on Computing, Networking and Communications (ICNC), Big Island, HI, USA, 2024.

C10. B.P. Devkota, L. Saunders, R. Dhakal, and L. N. Kandel, “GPS Spoofing Detection with a Random Forest Multiclass Classifier”, 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA.

C9. P. Choudhary, R. Dhakal and L. N. Kandel,“Performance Evaluation of Routing Protocols for UAV- Assisted Post-Disaster Communication Networks,” SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 1080-1087, doi: 10.1109/SoutheastCon52093.2024.10500104.

C8. W. Carpenter, P. Omodara, R. Babiceanu and L. N. Kandel, “An Extended Study of the Applications of Using Gesture Control to Pilot UAVs,” 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, 2023, pp. 1746-1752, doi: 10.1109/ICMLA58977.2023.00265.

C7. R. Dhakal, C. Bosma, P. Chaudhary and L. N. Kandel,“UAV Fault and Anomaly Detection Using Autoencoders,” 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), Barcelona, Spain, 2023, pp. 1-8, doi: 10.1109/DASC58513.2023.10311126.

C6. R. Dhakal and L. N. Kandel, “A Survey of Physical Layer-Aided UAV Security,” 2023 Integrated Communication, Navigation and Surveillance Conference (ICNS), Herndon, VA, USA, 2023, pp. 1-8, doi: 10.1109/ICNS58246.2023.10124288.

C5. X. Xue, M. K. Hasan, S. Yu, L. N. Kandel and M. Song, ”Over-the-Air Federated Learning with Enhanced Privacy,” ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 4546-4551, doi: 10.1109/ICC45041.2023.10278765.

C4. L. N. Kandel, Z. Zhang and S. Yu, “Exploiting CSI-MIMO for Accurate and Efficient Device Identification,” 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9014191.

C3. L. N., Kandel, Zhang, Z. & Yu, S. (2019, November). Poster: Using Commodity WiFi Devices for Object Sensing and Imaging. In 2019 International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE.

C2. L. N. Kandel and S. Yu, ”VWAN: Virtual WiFi ANtennas for Increased Indoor Localization Accuracy,” 2019 IEEE International Conference on Industrial Internet (ICII), Orlando, FL, USA, 2019, pp. 258-267, doi: 10.1109/ICII.2019.00052.

C1. L. N. Kandel and S. Yu, “Indoor Localization Using Commodity Wi-Fi APs: Techniques and Challenges,” 2019 International Conference on Computing, Networking and Communications (ICNC), Honolulu, HI, USA, 2019, pp. 526-530, doi: 10.1109/ICCNC.2019.8685501.