activity
20182021
most citedDRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks

5 citations · 5 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CR2021

ProbLock: Probability-based Logic Locking

Michael Yue, Fatemeh Tehranipoor

Integrated circuit (IC) piracy and overproduction are serious issues that threaten the security and integrity of a system. Logic locking is a type of hardware obfuscation technique…

cs.CR2020

Attacks on Lightweight Hardware-Based Security Primitives

Jack Edmonds, Fatemeh Tehranipoor

In today's digital age, the ease of data collection, transfer, and storage continue to shape modern society and the ways we interact with our world. The advantages are numerous, bu…

cs.CR20195 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

Towards Implementation of Robust and Low-Cost Security Primitives for Resource-Constrained IoT Devices

Fatemeh Tehranipoor

In recent years, due to the trend in globalization, system integrators have had to deal with integrated circuit (IC)/intellectual property (IP) counterfeiting more than ever. These…

cs.CR2018

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

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…