Maintaining security and privacy in real-world enterprise networks is becoming more and
more challenging. Cyber actors are increasingly employing previously unreported and state …

With the rapidly evolving technological landscape, the huge development of the Internet of
Things, and the embracing of digital transformation, the world is witnessing an explosion in …

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

This paper uniquely leverages unsolicited real darknet data to propose a novel system, CSC-
Detector, that aims at identifying Cyber Scanning Campaigns. The latter define a new …

In this paper, we present HOLMES, a system that implements a new approach to the
detection of Advanced and Persistent Threats (APTs). HOLMES is inspired by several case …

According to the Office of Cyber Security and Information Assurance, 93% of large
corporations and 87% of small businesses reported some form of cyber breach in 2013. 1 …

Over a decade, intelligent and persistent forms of cyber threats have been damaging to the
organizations' cyber assets and missions. In this paper, we analyze current cyber kill chain …

In this short paper, we take a first step towards empirically assessing Internet-wide malicious
activities generated from and targeted towards Internet-scale business sectors (ie, financial …

Security Assessment of large networks is a challenging task. Penetration testing (pentesting)
is a method of analyzing the attack surface of a network to find security vulnerabilities …

This paper presents PSO, an ontological framework and a methodology for improving
physical security and insider threat detection. PSO can facilitate forensic data analysis and …