Physical unclonable functions (PUFs) represent a class of security primitives that exploit the intrinsic randomness in material properties to generate unique digital fingerprints. By harnessing the ...

Nearly 600 cell lines commonly used in biomedical research today are misidentified or cross-contaminated, according to a recent paper and several additional studies. One estimates that nearly 33,000 ...

2T complementary architecture of one-time-programmable memory (OTP) in a foundry logic CMOS chip. It was then used to realize the PUF (Physical unclonable function), and the combination with the AI ...

Attopsemi’s I-fuse® OTP complements Crypto Quantique’s PUF IP with a highly reliable, silicon-proven non-volatile memory ...

The Secure Embedded Systems (SES) lab in the Center for Embedded Systems for Critical Applications (CESCA) at Virginia Tech, has demonstrated a novel Physical Unclonable Function (PUF), implemented in ...

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 ...

a, An illustration of liquid crystal polymer-based random wrinkles observed using a microscope and converted into a binary code, random and unique, and used as a PUF. Liquid crystals have different ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, offering a new approach to hardware security for IoT devices. (Nanowerk ...

(Nanowerk News) The ubiquity of electronic devices makes it essential to use encryption and anti-counterfeiting tools to protect the privacy and security of users. With the growing expansion of the ...

Over the last three decades, the digital world that we access through smartphones and computers has grown so rich and detailed that much of our physical world has a corresponding life in this digital ...

Despite the rigorous process controls for factories, anyone who has worked on hardware can tell you that parts may look identical but are not the same. Everything from silicon defects to microscopic ...