activity
20182022
most citedSupervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20221 cited

Watermarked ReRAM: A Technique to Prevent Counterfeit Memory Chips

Farah Ferdaus, B. M. S. Bahar Talukder, Md Tauhidur Rahman

Electronic counterfeiting is a longstanding problem with adverse long-term effects for many sectors, remaining on the rise. This article presents a novel low-cost technique to embe…

cs.ET2021

True Random Number Generation using Latency Variations of Commercial MRAM Chips

Farah Ferdaus, B. M. S. Bahar Talukder, Mehdi Sadi +1

The emerging magneto-resistive RAM (MRAM) has considerable potential to become a universal memory technology because of its several advantages: unlimited endurance, lower read/writ…

cs.CR20191 cited

Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network

Kyle Worley, Md Tauhidur Rahman

With the globalization of the semiconductor manufacturing process, electronic devices are powerless against malicious modification of hardware in the supply chain. The ever-increas…

cs.CR2018

PreLatPUF: Exploiting DRAM Latency Variations for Generating Robust Device Signatures

B. M. S. Bahar Talukder, Biswajit Ray, Domenic Forte +1

Physically Unclonable Functions (PUFs) are potential security blocks to generate unique and more secure keys in low-cost cryptographic applications. Dynamic random-access memory (D…

cs.CR2018

Exploiting DRAM Latency Variations for Generating True Random Numbers

B. M. S. Bahar Talukder, Joseph Kerns, Biswajit Ray +2

True random number generator (TRNG) plays a vital role in a variety of security applications and protocols. The security and privacy of an asset rely on the encryption, which solel…