Embedded systems omnipresent in everyday life and industry are mainly composed of hardware and software that must comply with a number of standards and regulations. However, there is no consensus on the quality characteristics and sub-characteristics of ...

Recent advances in Tiny Machine Learning (TinyML) empower low-footprint embedded devices for real-time on-device Machine Learning (ML). While many acknowledge the potential benefits of TinyML, its practical implementation presents unique challenges. This ...

Many practitioners in the software-intensive embedded industry often face difficulties after beginning their careers due to misalignment of the skills learned at the university with what is required in the workplace. Companies spend crucial resources to ...

In the Internet era, the data being collected on consumers like us are growing exponentially, and attacks on our privacy are becoming a real threat. To better ensure our privacy, it is safer to let the data owner control the data to be uploaded to the ...

Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool for researchers to understand cerebral functions and correlate them with brain activities. In addition, with the ever-increasing diffusion of the Internet, such ...

This article focuses on the design of safe and attack-resilient Cyber-Physical Systems (CPS) equipped with multiple sensors measuring the same physical variable. A malicious attacker may be able to disrupt system performance through compromising a ...

Although HMAC-SHA has been standardized for over a decade, few published attacks on the single-cycle round implementation exist. In this research, new attack techniques are provided, for the first time, (1) to help to discriminate between values of ...

Physically Unclonable Function (PUF) circuits are often vulnerable to mathematical model-building attacks. We theoretically quantify the advantage provided to an adversary by any training dataset expansion technique along the lines of security analysis ...

Future wireless embedded devices will be increasingly powerful, supporting many more applications including one of the most crucial, security. Although many embedded devices offer resistance to bus probing attacks due to their compact size and high ...

Advances in quantum computing have spurred a significant amount of research into public-key cryptographic algorithms that are resistant against postquantum cryptanalysis. Lattice-based cryptography is one of the important candidates because of its ...

Memristor is an exciting new addition to the repertoire of fundamental circuit elements. Alternatives to many security protocols originally employing traditional mathematical cryptography involve novel hardware security primitives, such as Physically ...

Sequential components are crucial for a real-time embedded system as they control the system based on the system's current state and real life input. In this article, we explore the security and trust issues of sequential system design from the ...

This article proposes a new message blinding methods requiring no multiplicative inversion for RSA. Most existing message blinding methods for RSA additionally require the multiplicative inversion, even though computational complexity of this operation ...

Dalvik virtual machine in the Android system creates a profiling barrier between VM-space applications and Linux user-space libraries. It is difficult for existing profiling tools on the Android system to definitively identify whether a bottleneck ...