Smart home is an emerging technology for intelligently connecting a large variety of smart
sensors and devices to facilitate automation of home appliances, lighting, heating and …

Deep learning has become the de-facto computational paradigm for various kinds of
perception problems, including many privacy-sensitive applications such as online medical …

This paper presents a new side channel that affects mixed-signal chips used in widespread
wireless communication protocols, such as Bluetooth and WiFi. This increasingly common …

The proliferation of Internet of Things (IoT) devices has revolutionized multiple sectors,
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …

Trustworthy operation of industrial control systems depends on secure and real-time code
execution on the embedded programmable logic controllers (PLCs). The controllers monitor …

The vulnerability of Internet of Things (IoT) devices to malware attacks poses huge
challenges to current Internet security. The IoT malware attacks are usually composed of …

We propose a novel malware detection system for critical embedded and cyber-physical
systems (CPS). The system exploits electromagnetic (EM) side-channel signals from the …

We propose a novel framework called IDEA that exploits electromagnetic (EM) side-channel
signals to detect malicious activity on embedded and cyber-physical systems (CPS). IDEA …

In this paper, we describe an extensible experimental infrastructure and methodology for
evaluating the micro-architectural leakage, based on power consumption, which stems from …

Cyber-physical systems (CPS) are controlling many critical and sensitive aspects of our
physical world while being continuously exposed to potential cyber-attacks. These systems …