SRAM PUF – The Secure Silicon Fingerprint


For many years, silicon Physical Unclonable Functions (PUFs) have been seen as a promising and innovative security technology making steady progress. Today, Static Random-Access Memory (SRAM)-based PUFs have been deployed in hundreds of millions of devices and offer a mature and viable security component that is achieving widespread adoption in commercial products. They are found in devices ran... » read more

Democratizing Roots of Trust from Silicon to Software


With a vast amount of devices getting connected to the Internet of Things (IoT) and the growing number of low-cost attacks being developed to hack such IoT devices, it is clear that the need for embedded security solutions is rising dramatically. A security subsystem in the main system-on-chip (SoC) of a device can be deployed to offer secure cryptographic services to the applications running o... » read more

Research Bits: Oct. 29


Micro-LED DUV maskless lithography Researchers from the University of Science and Technology of China, Anhui GaN Semiconductor, and Wuhan University developed a vertically integrated micro-LED array for deep ultraviolet (DUV) maskless photolithography. The team fabricated a DUV display integrated chip with 564 pixels-per-inch density that uses a three-dimensional vertically integrated devic... » read more

Research Bits: July 22


Sub-1nm gate Researchers from Korea's Institute for Basic Science, Sungkyunkwan University, Harvard University, and Korea Advanced Institute of Science and Technology (KAIST) found a method that enables epitaxial growth of 1D metallic materials with a width of less than 1 nm, which they used as a gate electrode of a miniaturized transistor. The team controlled the crystal structure of molyb... » read more

Bug, Flaw, Or Cyberattack?


The lines between counterfeiting, security, and design flaws are becoming increasingly difficult to determine in advanced packages and process nodes, where the number of possible causes of unusual behavior grow exponentially with the complexity of a device. Strange behavior may be due to a counterfeit part, including one that contains a trojan. Or it may be the result of a cyberattack. It al... » read more

Novel NVM Devices and Applications (UC Berkeley)


A dissertation titled “Novel Non-Volatile Memory Devices and Applications” was submitted by a researcher at University of California Berkeley. Abstract Excerpt "This dissertation focuses on novel non-volatile memory devices and their applications. First, logic MEM switches are demonstrated to be operable as NV memory devices using controlled welding and unwelding of the contacting electro... » read more

Overview of Machine Learning Algorithms Used In Hardware Security (TU Delft)


A new technical paper titled "A Survey on Machine Learning in Hardware Security" was published by researchers at TU Delft. Abstract "Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in ... » read more

Vehicle Security: Post-Quantum Security to the CAN Network


This new technical paper titled "PUF-Based Post-Quantum CAN-FD Framework for Vehicular Security" is published by researchers at University of Tennessee. Abstract "The Controller Area Network (CAN) is a bus protocol widely used in Electronic control Units (ECUs) to communicate between various subsystems in vehicles. Insecure CAN networks can allow attackers to control information between vit... » read more

Delay-based PUF for Chiplets to Verify System Integrity


New technical paper titled "Know Time to Die – Integrity Checking for Zero Trust Chiplet-based Systems Using Between-Die Delay PUFs" by researchers at University of Massachusetts, Amherst MA, Abstract (partial): "In this paper we propose a delay-based PUF for chiplets to verify system integrity. Our technique allows a single chiplet to initiate a protocol with its neighbors to measure un... » read more

Research Bits: June 21


Side-channel protection for edge AI Researchers from the Massachusetts Institute of Technology built a chip that can defend against power side-channel attacks targeting machine learning computations in smartwatches, smartphones, and tablets. Side-channel attacks involve observing a facet of the device's operation, in this case power, to deduce secrets. “The goal of this project is to buil... » read more

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