Search Results - "Karimian, Nima"

DRAM-Based Intrinsic Physically Unclonable Functions for System-Level Security and Authentication by Tehranipoor, Fatemeh, Karimian, Nima, Wei Yan, Chandy, John A.

“…A physically unclonable function (PUF) is an irreversible probabilistic function that produces a random bit string. It is simple to implement but hard to…”
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Hyperglycemia Identification Using ECG in Deep Learning Era by Cordeiro, Renato, Karimian, Nima, Park, Younghee

“…A growing number of smart wearable biosensors are operating in the medical IoT environment and those that capture physiological signals have received special…”
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ECG Biometric Authentication: A Comparative Analysis by Ingale, Mohit, Cordeiro, Renato, Thentu, Siddartha, Park, Younghee, Karimian, Nima

“…Robust authentication and identification methods become an indispensable urgent task to protect the integrity of the devices and the sensitive data. Passwords…”
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Never Lose Your ECG: A Novel Key Generation and Authentication Scheme for Implantable Medical Devices by Karimian, Nima, Saldamli, Gokay, Park, Younghee, Lui, Victor

“…Implantable medical devices, such as pacemakers, cardiac defibrillators, and insulin pumps, play a crucial role in monitoring patients' vital signs within…”
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ECG Biometric: Spoofing and Countermeasures by Karimian, Nima, Woodard, Damon, Forte, Domenic

“…The increased need for access control has motivated a widespread deployment of biometric systems in the last few years. However, recent works indicate that…”
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Unlock Your Heart: Next Generation Biometric in Resource-Constrained Healthcare Systems and IoT by Karimian, Nima, Tehranipoor, Mark, Woodard, Damon, Forte, Domenic

“…With the emergence of the Internet-of-Things, there is a growing need for access control and data protection on low-power, pervasive devices. Key-based…”
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Flash-Based Security Primitives: Evolution, Challenges and Future Directions by Gordon, Holden, Edmonds, Jack, Ghandali, Soroor, Yan, Wei, Karimian, Nima, Tehranipoor, Fatemeh

“…Over the last two decades, hardware security has gained increasing attention in academia and industry. Flash memory has been given a spotlight in recent years,…”
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Highly Reliable Key Generation From Electrocardiogram (ECG) by Karimian, Nima, Guo, Zimu, Tehranipoor, Mark, Forte, Domenic

“…Traditional passwords are inadequate as cryptographic keys, as they are easy to forge and are vulnerable to guessing. Human biometrics have been proposed as a…”
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ECG Biometric Spoofing Using Adversarial Machine Learning by Garg, Amit, Karimian, Nima

“…As the Covid-19 pandemic becomes a nationwide problem, physical contact is no longer acceptable. Therefore, biometric technology can be used for practicing…”
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ECG-Based Authentication Using Timing-Aware Domain-Specific Architecture by Cordeiro, Renato, Gajaria, Dhruv, Limaye, Ankur, Adegbija, Tosiron, Karimian, Nima, Tehranipoor, Fatemeh

“…Electrocardiogram (ECG) biometric authentication (EBA) is a promising approach for human identification, particularly in consumer devices, due to the…”
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DVFT: A Lightweight Solution for Power-Supply Noise-Based TRNG Using Dynamic Voltage Feedback Tuning System by Tehranipoor, Fatemeh, Wortman, Paul, Karimian, Nima, Yan, Wei, Chandy, John A.

“…True random number generators (TRNGs) are central to many computing applications, particularly in security domains such as cryptography. In this paper, we…”
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LISH: A New Random Number Generator using ECG Noises by Lyp, Thomas, Karimian, Nima, Tehranipoor, Fatemeh

“…In this paper, we propose a novel method, "Lift and Shift" (LISH), where it can generate a unique true random number based on the patient's unique ECG noise…”
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Human recognition from photoplethysmography (PPG) based on non-fiducial features by Karimian, Nima, Zimu Guo, Tehranipoor, Mark, Forte, Domenic

“…Photoplethysmography (PPG) signals have unique identity properties for human recognition, and are becoming easier to capture by emerging IoT sensors. Existing…”
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Low-cost authentication paradigm for consumer electronics within the internet of wearable fitness tracking applications by Tehranipoor, Fatemeh, Karimian, Nima, Wortman, Paul A., Chandy, John A.

“…Nowadays, the consumer electronic (CE) market has grown to include smart devices for the Internet of Things. With increased adoption of these smart IoT…”
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ECG biometric using 2D Deep Convolutional Neural Network by Thentu, Siddartha, Cordeiro, Renato, Park, Youngee, Karimian, Nima

“…We propose a novel multi-scale continuous wavelet transform feature method to accurately obtain micro-texture and multi-scale ECG characteristics and…”
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Leveraging Timing Side-Channel Information and Machine Learning for IoT Security by Sahu, Kratika, Kshirsagar, Rasika, Vasudeva, Surbhi, Alzahrani, Taghreed, Karimian, Nima

“…In the recent era, adoption of IoT technology can be seen in nearly every other field. However, with its fast growth rate, the IoT brings several advanced…”
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BLOcKeR: A Biometric Locking Paradigm for IoT and the Connected Person by Shomaji, Sumaiya, Guo, Zimu, Ganji, Fatemeh, Karimian, Nima, Woodard, Damon, Forte, Domenic

“…As the internet-of-things (IoT) era begins, there is a significant need for low-cost access control schemes that allow humans to activate and maintain IoT…”
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Investigation of DRAM PUFs reliability under device accelerated aging effects by Tehranipoor, Fatemeh, Karimian, Nima, Wei Yan, Chandy, John A.

“…Physical Unclonable Functions are promising candidates for lightweight authentication applications as they are hard to predict and clone. PUFs are dependent on…”
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A Study of Power Supply Variation as a Source of Random Noise by Tehranipoor, Fatemeh, Karimian, Nima, Yan, Wei, Chandy, John A.

“…In this paper, we consider the construction of True Random Numbers Generators (TRNGs) using variations in power supplies. We demonstrate that power supply line…”
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Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach by Adami, Banafsheh, Karimian, Nima

“…Contactless fingerprint recognition offers a higher level of user comfort and addresses hygiene concerns more effectively. However, it is also more vulnerable…”
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