Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

Threats that have been primarily targeting nation states and their associated entities have
expanded the target zone to include the private and corporate sectors. This class of threats …

An advanced persistent threat (also known as APT) is a deliberately slow-moving
cyberattack that is applied to quietly compromise interconnected information systems without …

Automated detection methods for targeted cyber attacks are getting more and more
prominent. In order to test these methods properly, it is crucial to have a suitable dataset …

With the market introduction of the 2014 Mercedes-Benz S-Class vehicle equipped with a
stereo camera system, autonomous driving has become a reality, at least in low speed …

Intrusion Detection systems are important tools in preventing malicious traffic from
penetrating into networks and systems. Recently, Intrusion Detection Systems are rapidly …

Technological advances and increased interconnectivity have led to a higher risk of
previously unknown threats. Cyber Security therefore employs Intrusion Detection Systems …

Abstract Advanced Persistent Threat (APT) is a type of threat that has grabbed the attention
of researchers, particularly in the industrial security field. APTs are cyber intrusions carried …

With the evolution of threats and attacks and the speed of automation, new modern training
and learning environments are needed to support the challenges of digital organizations …

U nraveled is a novel cybersecurity dataset capturing Advanced Persistent Threat (APT)
attacks not available in the public domain. Existing cybersecurity datasets lack coherent …