Detecting anomalously behaving devices in security-and-safety-critical applications is an
important challenge. This article presents an off-device methodology for detecting the …

With the growing deployment of Internet of Things (IoT) devices in diverse domains, malware
authors have started using these devices as attack vectors for distributed attacks targeting …

The vulnerability of Internet of Things (IoT) devices to malware attacks poses huge
challenges to current Internet security. The IoT malware attacks are usually composed of …

The proliferation of the Internet of Things (IoT) devices has led to an increased risk of
cyberattacks and malicious activities, including the spread of malware. To mitigate these …

As the Internet of Things (IoT) grows at a rapid pace, there is a need for an effective and
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …

Embedded devices are increasingly connected to the Internet to provide new and innovative
applications in many domains. However, these devices can also contain security …

Due to its simple installation and connectivity, the Internet of Things (IoT) is susceptible to
malware attacks. Being able to operate autonomously. As IoT devices have become more …

The proliferation of Internet of Things (IoT) devices has revolutionized multiple sectors,
promising significant societal benefits. With an estimated 29 billion IoT devices expected to …

Malware detection in IoT environments necessitates robust methodologies. This study
introduces a CNN-LSTM hybrid model for IoT malware identification and evaluates its …

The proliferation of Internet of Things (IoT) devices has led to an increase in the number of
malware attacks targeting these devices. Traditional security mechanisms such as firewalls …