ABSTRACT active in exchanging communication and data. IoT devices cannot enforce
advanced security mechanisms to protect themselves from cyberattacks. Furthermore, IoT …

Machine learning based anomaly detection mechanisms are a promising tool to detect and
protect networks from previously unknown attacks. The quality of those mechanisms strongly …

Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

The world is currently progressing towards a new connectivity era where billions of sensors
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …

Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

The Internet of Things (IoT) has revolutionized numerous industries by interconnecting
devices and enabling seamless communication. However, the proliferation of IoT devices …

Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …

Although IoT delivers several benefits, it also raises concerns regarding privacy and
security, from revenue disruption in industrial facilities to life-threatening situations caused …

Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …