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20182026
most citedSecure and Reliable Biometric Access Control for Resource-Constrained Systems and IoT

15 citations · 24 across the 14 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2026

Cross-Layer Roots of Trust: Integrating Biometrics, PUFs, and Hardware Obfuscation

Nima Karimian

Modern cyber--physical, Internet-of-Things (IoT), wearable, and edge systems increasingly require trust in three distinct entities: the human requesting access, the physical device…

cs.CR2021

Intrinsic PUF Instance on Non-Volatile NAND Flash Memory

Surbhi Vasudeva, Sara Tehranipoor, Nima Karimian

Embedded systems or micro controller based modules have become increasingly prevalent in our daily lives. However, the security of embedded devices as well as the authenticity of h…

cs.CR2020

When Physical Unclonable Function Meets Biometrics

Kavya Dayananda, Nima Karimian

As the Covid-19 pandemic grips the world, healthcare systems are being reshaped, where the e-health concepts become more likely to be accepted. Wearable devices often carry sensiti…

cs.CR2019★ 5 cited

DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks

Nima Karimian, Fatemeh Tehranipoor, Nikolaos Anagnostopoulos +1

Nowadays, there is an increasing interest in the development of Autonomous Vehicles (AV). However, there are two types of attack challenges that can affect AVs and are yet to be re…

cs.CR2018★ 15 cited

Secure and Reliable Biometric Access Control for Resource-Constrained Systems and IoT

Nima Karimian, Zimu Guo, Fatemeh Tehranipoor +3

With the emergence of the Internet-of-Things (IoT), there is a growing need for access control and data protection on low-power, pervasive devices. Biometric-based authentication i…

cs.CR2018★ 1 cited

Deep RNN-Oriented Paradigm Shift through BOCANet: Broken Obfuscated Circuit Attack

Fatemeh Tehranipoor, Nima Karimian, Mehran Mozaffari Kermani +1

This is the first work augmenting hardware attacks mounted on obfuscated circuits by incorporating deep recurrent neural network (D-RNN). Logic encryption obfuscation has been used…