Abstract Physically Unclonable Functions (PUFs) are a promising technology and have
been proposed as central building blocks in many cryptographic protocols and security …

Malware poses an extremely dangerous threat to the digital world, significantly impacting
various domains such as smart cities, intelligent transportation, wireless sensor networks …

True random number generators (TRNG) sample random physical processes to create large
amounts of random numbers for various use cases, including security-critical cryptographic …

We propose a new DRAM-based true random number generator (TRNG) that leverages
DRAM cells as an entropy source. The key idea is to intentionally violate the DRAM access …

With the rise of Internet of Things (IoT) and Cyber-Physical Systems (CPS), the need for
smart embedded devices is rapidly increasing, and so does the security and privacy risk …

We present the design, implementation and evaluation of the root of trust for the Trusted
Execution Environment (TEE) provided by ARM TrustZone based on the on-chip SRAM …

Physical unclonable functions (PUFs) and biometrics are inherently noisy. When used in
practice as cryptographic key generators, they need to be combined with an extraction …

Random number generation is an important task in a wide variety of critical applications
including cryptographic algorithms, scientific simulations, and industrial testing tools. True …

As the demand for highly secure and dependable lightweight systems increases in the
modern world, Physically Unclonable Functions (PUFs) continue to promise a lightweight …

The security of data communication is very important in all aspects. V. Shukla et al. had
proposed a secure sequential coding method. They have shown the results for text secret …