Internet of Things (IoT) devices are becoming increasingly ubiquitous, eg, at home, in
enterprise environments, and in production lines. To support the advanced functionalities of …

Federated Learning (FL) has been widely applied in Intrusion Detection Systems (IDS) for
the smart home due to its advantages in data privacy protection. However, as the variety and …

A diverse set of Internet of Things (IoT) devices are becoming an integrated part of daily
lives, and playing an increasingly vital role in various industry, enterprise and agricultural …

Abstract The Internet of Things (IoT) landscape is booming, and a wide range of IoT
endpoints has been integrated into various aspects of life, opening opportunities for …

With pervasive IoT networking, traffic-analysis-based IoT fingerprinting techniques have
been well researched. For example, by integrating blockchain technology and device …

Due to the exponential increase in work-from-home adoption, Internet of Things (IoT)
networks are under threat of constant attacks from internal and external adversaries. Thus …

Recent studies have demonstrated that malicious adversaries are capable of fingerprinting
Internet of Things (IoT) devices in a smart home and further causing privacy breaches …

Web server-based fingerprinting is a type of fingerprinting that allows security practitioners,
penetration testers, and attackers to distinguish between servers based on the set of …

Massive Internet of Things (IoT) devices have been playing a critical role in both the cyber
and physical worlds. Various cyber attacks pose significant risks to IoT. Machine learning …

Smarte enheter blir stadig vanligere i hjemmene våre og hjelper oss med ulike aspekter av
hverdagen. Dette reiser spørsmål om sikkerhetskonsekvensene knyttet til den økende …