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

The insecurity of the Internet-of-Things (IoT) paradigm continues to wreak havoc in
consumer and critical infrastructures. The highly heterogeneous nature of IoT devices and …

The dynamics of cyber threats are increasingly complex, making it more challenging than
ever for organizations to obtain in-depth insights into their cyber security status. Therefore …

Cybersecurity is a growing concern for governments, with the push for universal access to
the Internet, the increasing ubiquity of social networks and the growing reliance on digital …

Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats that
are equipped with novel approaches to learn the system and propagate themselves, such as …

Although the security of Cyber-Physical Systems (CPS) has been recently receiving
significant attention from the research community, undoubtedly, there still exists a substantial …

The Darkweb, part of the deep web, can be accessed only through specialized computer
software and used for illegal activities such as cybercrime, drug trafficking, and exploitation …

The resource-constrained and heterogeneous nature of Internet-of-Things (IoT) devices
coupled with the placement of such devices in publicly accessible venues complicate efforts …

Website Fingerprinting (WF) is a network traffic mining technique for anonymous traffic
identification, which enables a local adversary to identify the target website that an …

Darknets are passive probes listening to traffic reaching IP addresses that host no services.
Traffic reaching them is unsolicited by nature and often induced by scanners, malicious …