Abstract The Internet of Things (IoT) ecosystem needs Intrusion Detection Systems (IDS) to
mitigate cyberattacks and exploit security vulnerabilities. Over the past years, utilizing …

With the proliferation of the Internet of Things (IoT) in various domains, concerns over
information security and user privacy have exponentially escalated. Numerous smart …

The number of Internet of Things (IoT) devices has increased considerably in the past few
years, resulting in a large growth of cyber attacks on IoT infrastructure. As part of a defense …

With the ever increasing number of cyber-attacks, internet of Things (ioT) devices are being
exposed to serious malware, attacks, and malicious activities alongside their development …

Federated learning allows multiple parties to jointly train and update machine learning
models without shared data to a central server, which is particularly suitable for intrusion …

The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …

With the proliferation of IoT devices, ensuring the security and privacy of these devices and
their associated data has become a critical challenge. In this paper, we propose a federated …

To deal with the increasing number of cyber-attacks, intrusion detection system (IDS) plays
an important role in monitoring and ensuring the security of the computer network. With the …

The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …

Critical role of the internet of things (IoT) in various domains like smart city, healthcare,
supply chain, and transportation has made them the target of malicious attacks. Past works …