31 citations · 69 across the 10 of their papers we have counts for
10 papers
Utilization of Impedance Disparity Incurred from Switching Activities to Monitor and Characterize Firmware Activities
Md Sadik Awal, Christopher Thompson, Md Tauhidur Rahman
The massive trend toward embedded systems introduces new security threats to prevent. Malicious firmware makes it easier to launch cyberattacks against embedded systems. Systems in…
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…
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation
Mehdi Sadi, B. M. S. Bahar Talukder, Kaniz Mishty +1
Universal Adversarial Perturbations are image-agnostic and model-independent noise that when added with any image can mislead the trained Deep Convolutional Neural Networks into th…
A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips
B. M. S. Bahar Talukder, Farah Ferdaus, Md Tauhidur Rahman
Many commercially available memory chips are fabricated worldwide in untrusted facilities. Therefore, a counterfeit memory chip can easily enter into the supply chain in different…
Approximate MRAM: High-performance and Power-efficient Computing with MRAM Chips for Error-tolerant Applications
Farah Ferdaus, B. M. S. Bahar Talukder, Md Tauhidur Rahman
Approximate computing (AC) leverages the inherent error resilience and is used in many big-data applications from various domains such as multimedia, computer vision, signal proces…
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…
Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin
B. M. S. Bahar Talukder, Vineetha Menon, Biswajit Ray +2
Due to the globalization in the semiconductor supply chain, counterfeit dynamic random-access memory (DRAM) chips/modules have been spreading worldwide at an alarming rate. Deployi…
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…
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…
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…