While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Darknet traffic classification is significantly important to categorize real-time applications.
Although there are notable efforts to classify darknet traffic which rely heavily on existing …

''Knowledge is power” is an old adage that has been found to be true in today's information
age. Knowledge is derived from having access to information. The ability to gather …

The World Wide Web (www) consists of the surface web, deep web, and Dark Web,
depending on the content shared and the access to these network layers. Dark Web consists …

Network telescopes or “Darknets” received unsolicited Internet-wide traffic, thus providing a
unique window into macroscopic Internet activities associated with malware propagation …

Along with the proliferation of Internet of Things (IoT) devices, cyberattacks towards these
devices are on the rise. In this paper, we present a study on applying Association Rule …

Trillions of network packets are sent over the Internet to destinations which do not exist. This
'darknet'traffic captures the activity of botnets and other malicious campaigns aiming to …

Darknet is an encrypted portion of the internet for users who intend to hide their identity.
Darknet's anonymous nature makes it an effective tool for illegal online activities such as …

Network operators and system administrators are increasingly overwhelmed with incessant
cyber-security threats ranging from malicious network reconnaissance to attacks such as …

The proliferation of malicious soffware—so called malware—poses a major threat to the
confidentiality, integrity, and availability of the data stored and communicated using the …