In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …

In recent years, Botnet has become one of the most dreadful type of malicious entity.
Because of the hidden and carrying capacity of Botnet, the detection task has become a real …

Established and emerging technologies such as 5G, Internet of Things (IoT), and blockchain
will play an increasingly significant role in smart city applications, which reinforce the …

In recent years, Internet of Things (IoT) traffic has increased dramatically and is expected to
grow further in the next future. Because of their vulnerabilities, IoT devices are often the …

Modern cities face many challenges related to globalisation, metropolisation and
digitalisation. The smart city concept, which has been gaining popularity in recent years, is …

Encrypted traffic tunnelled by Tor or VPN is referred to as darknet traffic. The ability to detect,
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …

Abstract Introduction: The increasingly integrated Industrial IoT (IIoT) with industrial systems
brings benefits such as intelligent analytics, predictive maintenance, and remote monitoring …

Malicious attacks are becoming more prevalent due to the growing use of Internet of Things
(IoT) devices in homes, offices, transportation, healthcare, and other locations. By …

Abstract Intrusion Detection Systems (IDS) based on deep learning models can identify and
mitigate cyberattacks in IoT applications in a resilient and systematic manner. These models …

Network forensics focuses on the identification and investigation of internal and external
network attacks, the reverse engineering of network protocols, and the uninstrumented …