The proliferation in Internet of Things (IoT) devices is demonstrated by their prominence in
our daily lives. Although such devices simplify and automate everyday tasks, they also …

Abstract Machine learning based Intrusion Detection Systems (IDS) allow flexible and
efficient automated detection of cyberattacks in Internet of Things (IoT) networks. However …

With the introduction of the Amazon Echo family and Google devices like Chromecast and
Home the adoption of IoT devices in the household is bound to increase exponentially this …

With the proliferation in the quantity and types of devices that may be included in an Internet
of Things (IoT) ecosystem, particularly in the context of a smart home, it is essential to …

The rapid growth of IoT devices has the potential to provide many benefits. It is also a cause
for concern because IoT devices are tempting targets for attackers. State-of-the-art security …

Abstract The Internet of Things (IoT) has brought a wealth of new technologies both in
homes and businesses onto IP networks not natively designed to securely support such …

While IoT devices and traditional machines suffer from the same types of attacks, IoT devices
tend to be harder to secure due to some unique properties. IoT devices are often harder to …

For smart homes to be safe homes, they must be designed with security in mind. Yet, despite
the widespread proliferation of connected digital technologies in the home environment …

Abstract Internet of Things (IoT) are an extensive smart device networked ecosystem, which
routinely exchange log data and information over the Internet with portals and humans …

Abstract Machine learning and deep learning-based anomaly intrusion detection systems
(IDSs) have become prevalent in securing IoT networks due to their ability to monitor traffic …