Publicly available datasets are an indispensable tool for researchers, as they allow testing
new algorithms on a wide range of different scenarios and making scientific experiments …

The widespread use of IoT devices has unveiled overlooked security risks. With the advent
of ultrareliable low-latency communications (URLLCs) in 5G, fast threat defense is critical to …

With the rapidly growing frequency of security incidents in the Internet of Things (IoT),
intrusion detection systems (IDS) have gained increasing attention in recent years. They …

Modern buildings are increasingly getting connected by adopting a range of IoT devices and
applications from video surveillance and lighting to people counting and access control. It …

Machine learning-based techniques have proven to be effective in Internet-of-Things (IoT)
network behavioral inference. Existing works developed data-driven models based on …

Although home Internet of Things (IoT) devices are typically plain and task oriented, the
context of their daily use may affect their traffic patterns. That is, a given IoT device will …

Abstract Machine Learning-based techniques have shown success in cyber intelligence.
However, they are increasingly becoming targets of sophisticated data-driven adversarial …

IoT gateways are vital to the scalability and security of IoT networks. As more devices
connect to the network, traditional hard-coded gateways fail to flexibly process diverse IoT …

Millions of vulnerable consumer IoT devices in home networks are the enabler for cyber
crimes putting user privacy and Internet security at risk. Internet service providers (ISPs) are …

Residential Internet service providers (ISPs) today have limited device-level visibility into
subscriber houses, primarily due to the network address translation (NAT) technology. The …