Publications

Book Chapter(s):

  1. F. Tehranipoor,  N. Karimian, P. Wortman, A. Haque, J. Fahrney, and J. Chandy, “Exploring Methods of Authentication for the Internet of Things,” In the Internet of Things, pp. 71-90. Chapman and Hall/CRC, 2017.

Journal Articles:

  1. S. Shomaji, Z. Guo, F. Ganji, N. Karimian, D. Woodard, D. Forte, “BLOcKeR: A Biometric Locking Paradigm for IoT and the Connected Person,” in Journal of Hardware and Systems Security (HaSS), 2021 (to be appeared).
  2. R. Corderio, N. Karimian, and Y. Park, “Hyperglycemia Identification using ECG in Deep Learning Era,” in Sensor, vol. 21, no. 18, pp. 1-16, 2021.
  3. H. Gordon, J. Edmonds, S. Ghandali, W. Yan, N. Karimian, and F. Tehranipoor, “Flash-Based Security Primitives: Evolution, Challenges, and Future Directions”, in Cryptography 2021, 5, 7. https://doi.org/10.3390/cryptography5010007.
  4. R. Cordeiro, D. Gajaria, A. Limaye, T. Adegbija, N. Karimian, and F. Tehranipoor, “ECG-Based Authentication Using Timing-Aware Domain-Specific Architecture,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11, pp. 3373-3384, Nov. 2020, doi: 10.1109/TCAD.2020.3012169.
  5. M. Ingale, R. Cordeiro, S. Thentu, Y. Park, and N. Karimian, “ECG Biometric Authentication: A Comparative Analysis”  in IEEE Access, vol. 8, pp. 117853-117866, 2020, doi: 10.1109/ACCESS.2020.3004464.
  6. M. Yue, N. Karimian, W. Yan, N. Anagnostopoulos, and F. Tehranipoor, “DRAM-based Authentication using Deep Convolutional Neural Networks,” in IEEE Consumer Electronics Magazine, 2020.
  7. N. Karimian, D. Woodard and D. Forte, “ECG Biometric: Spoofing and Countermeasures,”  in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 3, pp. 257-270, July 2020, doi: 10.1109/TBIOM.2020.2992274.
  8. N. Karimian, M. Tehranipoor, D. Woodard and D. Forte, “Unlock Your Heart: Next Generation Biometric in Resource-Constrained Healthcare Systems and IoT,”  in IEEE Access, vol. 7, pp. 49135-49149, 2019, doi: 10.1109/ACCESS.2019.2910753.
  9. F. Ganji., N. Karimian, D. Woodard, and D. Forte, “Leave Adversaries in the Dark- BLOcKeR: Secure and Reliable Biometric Access Control”, The Journal of the Homeland Defense and Security Information Analysis Center (HDIAC), Vol. 6, No. 1, Spring, 2019.
  10. F. Tehranipoor, P. Wortman, N. Karimian, W. Yan and J. A. Chandy, “DVFT: A Lightweight Solution for Power-Supply Noise-Based TRNG Using Dynamic Voltage Feedback Tuning System,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 6, pp. 1084-1097, June 2018, doi: 10.1109/TVLSI.2018.2804258.
  11. N. Karimian, Z. Guo, M. Tehranipoor and D. Forte, “Highly Reliable Key Generation From Electrocardiogram (ECG),”  in IEEE Transactions on Biomedical Engineering, vol. 64, no. 6, pp. 1400-1411, June 2017, doi: 10.1109/TBME.2016.2607020.
  12. F. Tehranipoor, N. Karimian, W. Yan and J. A. Chandy, “DRAM-Based Intrinsic Physically Unclonable Functions for System-Level Security and Authentication,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 3, pp. 1085-1097, March 2017, doi: 10.1109/TVLSI.2016.2606658.

Conference Papers:

  1. A. Garg and N. Karimian, “Leveraging Deep CNN and Transfer Learning for Side-channel Attack” in 22nd International Symposium on Quality Electronic Design (ISQED’21), Apr. 2021.
  2. H. Jeon, N. Karimian, and T. Lehman, “A New Foe in GPUs: Power Side-Channel Attacks on Neural Network” in 22nd International Symposium on Quality Electronic Design (ISQED’21), Apr. 2021.
  3. K. Sahu, R. Kshirsagar, S. Vasudeva, T. Alzahrani, and N. Karimian, “Leveraging Timing Side-Channel Information and Machine Learning for IoT Security” in 39th IEEE International Conference on Consumer Electronics (ICCE), Jan. 2021 (accepted).
  4. T. Lyp, N. Karimian, F. Tehranipoor, “LISH: A New Random Number Generator Using ECG Noises” in 39th IEEE International Conference on Consumer Electronics (ICCE), Jan. 2021 (accepted).
  5. S. Thentu, R. Cordeiro, Y. Park, N. Karimian, “ECG Biometric Using 2D Deep Convolutional Neural Network” in 39th IEEE International Conference on Consumer Electronics (ICCE), Jan. 2021 (accepted).
  6. A. Garg, N. Karimian, “ECG Biometric Spoofing Using Adversarial Machine Learning” in 39th IEEE International Conference on Consumer Electronics (ICCE), Jan. 2021 (accepted).
  7. K. Sahu, R. Kshirsagar, S. Vasudeva, T. Alzahrani, and N. Karimian, “IoT Checker Using Timing Side-channel and Machine Learning” in Silicon Valley Cybersecurity Conference (SVCC), Dec. 2020.
  8. F. Tehranipoor, N. Karimian, M. Mozaffari-Kermani, and M. Mahmoodi, “Deep RNN-Oriented Paradigm Shift through BOCANet: Broken Obfuscated Circuit Attack” In Proceedings of the 25th edition on Great Lakes Symposium on VLSI (GLSVLSI), May 2019. https://doi.org/10.1145/3299874.3318031
  9. N. Karimian, and F. Tehranipoor, “How to Generate Robust Keys from Noisy DRAMs?” In Proceedings of the 25th edition on Great Lakes Symposium on VLSI (GLSVLSI), https://doi.org/10.1145/3299874.3319494.
  10. N. Karimian, and F. Tehranipoor, “HeartID-based Authentication for Autonomous Vehicles using Deep Learning and Random Number Generators” SPIE Defense and Commercial Sensing, April 2019. https://doi.org/10.1117/12.2519255
  11. N. Karimian, “Cardiovascular PPG biometric key generation for IoT in healthcare domain”,  In Mobile Multimedia/Image Processing, Security, and Applications 2019 (Vol. 10993, p. 109930X). International Society for Optics and Photonics.
  12. F. Tehranipoor, N. Karimian, and A. Pugazhenthi, “DLA-PUF: Deep Learning Attacks on Hardware Security Primitives”, SPIE Defense and Commercial Sensing, April 2019. https://doi.org/10.1117/12.2519257
  13. Karimian, N., “How to Attack PPG Biometric using Adversarial Machine Learning” SPIE Defense and Commercial Sensing, April 2019.
  14. N. Karimian, H. Salehi, M. Mahdian, H. Alnajjar, and A. Tadinada, “Deep Learning Classifier with Optical Coherence Tomography Images for Early Dental Caries Detection,” Proc. SPIE BIOS 10044, Lasers in Dentistry XXIV, Jan. 2018. (Best Paper Award Nomination)
  15. F. Tehranipoor, N. Karimian, P. A. Wortman and J. A. Chandy, “Low-cost authentication paradigm for consumer electronics within the internet of wearable fitness tracking applications,” 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2018, pp. 1-6, doi: 10.1109/ICCE.2018.8326233..
  16. N. Karimian, D. L. Woodard and D. Forte, “On the vulnerability of ECG verification to online presentation attacks,” 2017 IEEE International Joint Conference on Biometrics (IJCB), Denver, CO, 2017, pp. 143-151, doi: 10.1109/BTAS.2017.8272692. (Received IAPR TC4 Best Student Paper Award)
  17. F. Tehranipoor, N. Karimian, W. Yan and J. A. Chandy, “Investigation of DRAM PUFs reliability under device accelerated aging effects,” 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, pp. 1-4, doi: 10.1109/ISCAS.2017.8050629.
  18. N. Karimian, F. Tehranipoor, Z. Guo, M. Tehranipoor and D. Forte, “Noise assessment framework for optimizing ECG key generation,” 2017 IEEE International Symposium on Technologies for Homeland Security (HST), Waltham, MA, 2017, pp. 1-6, doi: 10.1109/THS.2017.7943458.
  19. N. Karimian, Z. Guo, M. Tehranipoor and D. Forte, “Human recognition from photoplethysmography (PPG) based on non-fiducial features,” 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp. 4636-4640, doi: 10.1109/ICASSP.2017.7953035.
  20. N. Karimian, M. Tehranipoor and D. Forte, “Non-fiducial PPG-based authentication for healthcare application,” 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Orlando, FL, 2017, pp. 429-432, doi: 10.1109/BHI.2017.7897297.
  21. F. Tehranipoor, N. Karimian, P. A. Wortman, and J. Chandy, “Investigation of the IoT in its Application to Low-Cost Authentication within Healthcare,” IEEE-EMBS International Conference on Biomedical and Health Informatics, Feb. 2017
  22. P. A. Wortman, F. Tehranipoor, N. Karimian and J. A. Chandy, “Proposing a modeling framework for minimizing security vulnerabilities in IoT systems in the healthcare domain,” 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Orlando, FL, 2017, pp. 185-188, doi: 10.1109/BHI.2017.7897236.
  23. F. Tehranipoor, N. Karimian, W. Yan and J. A. Chandy, “A Study of Power Supply Variation as a Source of Random Noise,” 2017 30th International Conference on VLSI Design and 2017 16th International Conference on Embedded Systems (VLSID), Hyderabad, 2017, pp. 155-160, doi: 10.1109/VLSID.2017.24. (Received Best Technical Paper Award)
  24. N. Karimian, P. A. Wortman and F. Tehranipoor, “Evolving authentication design considerations for the Internet of biometric things (IoBT),” 2016 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Pittsburgh, PA, 2016, pp. 1-10.
  25. N. Karimian, D. Woodard, and D. Forte, “Biometrics for Authentication in Resource-Constrained Systems,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2016.
  26. Z. Guo, N. Karimian, M. M. Tehranipoor and D. Forte, “Hardware security meets biometrics for the age of IoT,” 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, 2016, pp. 1318-1321, doi: 10.1109/ISCAS.2016.7527491.
  27. Z. Guo, N. Karimian, M. M. Tehranipoor and D. Forte, “Biometric Based Human-to-Device (H2D) Authentication,” Government Microcircuit Applications and Critical Technology Conference (GOMACTech), March. 2016.
  28. N. Karimian, F. Tehranipoor, M. T. Rahman, S. Kelly and D. Forte, “Genetic Algorithm for hardware Trojan detection with ring oscillator network (RON),” 2015 IEEE International Symposium on Technologies for Homeland Security (HST), Waltham, MA, 2015, pp. 1-6, doi: 10.1109/THS.2015.7225334.
  29. F. Tehranipoor, N. Karimian, K. Xiao, and J. Chandy, “DRAM based Intrinsic Physical Unclonable Functions for System Level Security, ” In Proceedings of the 25th edition on Great Lakes Symposium on VLSI (GLSVLSI ’15). Association for Computing Machinery, New York, NY, USA, 15–20. DOI:https://doi.org/10.1145/2742060.274206

Preprints:

  1. F. Tehranipoor, N. Karimian, M. Mozaffari-Kermani, and H. Mahmoodi, “Deep RNN-Oriented Paradigm Shift through BOCANet: Broken Obfuscated Circuit Attack”, arXiv preprint arXiv:1803.03332, 2018.
  2. N. Karimian,  Z. Guo, F. Tehranipoor, D. Woodard, M. Tehranipoor, and D. Forte, “Secure and Reliable Biometric Access Control for Resource-Constrained Systems and IoT,” arXiv preprint arXiv:1803.09710 (2018).

Posters:

  1. Z. Guo, N. Karimian, M. Tehranipoor, and D. Forte, “Heart to Device Biometric Authentication,” FICS Research Annual Conference on Cybersecurity, Feb. 2015. (Received Best Poster Award)

Dissertation:

  • “Cardiovascular Biometrics to Secure the Internet of Things,” Ph.D. Dissertation, Department of Electrical and Computer Engineering, University of Connecticut, April 2018.