The massive modern technical revolution in electronics, cognitive computing, and sensing
has provided critical infrastructure for the development of today's Internet of Things (IoT) for a …

The primary objective of an anonymity tool is to protect the anonymity of its users through the
implementation of strong encryption and obfuscation techniques. As a result, it becomes …

The anonymous nature of darknets is commonly exploited for illegal activities. Previous
research has employed machine learning and deep learning techniques to automate the …

Recent trends in the modus operandi of technologically-aware criminal groups engaged in
illicit goods trafficking (eg, firearms, drugs, cultural artifacts, etc.) have given rise to …

Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …

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 …

Darknet, a source of cyber intelligence, refers to the internet's unused address space, which
people do not expect to interact with their computers. The establishment of security requires …

Over the past decade, there has been a growing surge of interest in leveraging artificial
intelligence and machine learning models to address real‐world challenges within the field …

The Internet plays a crucial role in supporting global applications and businesses, but
security remains a major challenge. Within the Internet, there exists a parallel network …

In this paper, a new paradigm for network security is developed via the use of ensemble
learning. The primary objective of this study is to identify and stop the involvement of …