With the rise in security breaches over the past few years, there has been an increasing
need to mine insights from social media platforms to raise alerts of possible attacks in an …

With the rise in security breaches over the past few years, there has been an increasing
need to mine insights from social media platforms to raise alerts of possible attacks in an …

We present an approach that combines social network analysis with machine learning
techniques to predict future cyber threats through darkweb/deepweb discussions with …

The existing methods for assessing the likelihood of exploitation for software vulnerabilities
are found to have many limitationpreventing them from being useful tools for prioritization of …

Recent high-profile cyber-attacks exemplify why organizations need better cyber-defenses.
Cyber-threats are hard to accurately predict because attackers usually try to mask their …

Breaking cybersecurity events are shared across a range of websites, including security
blogs (FireEye, Kaspersky, etc.), in addition to social media platforms such as Facebook and …

Today's analysts manually examine social media networks to find discussions concerning
planned cyber attacks, attacker techniques and tools, and potential victims. Applying modern …

In today's increasingly connected world, cyber attacks have become a serious threat with
detrimental effects on individuals, businesses, and broader society. Truly mitigating the …

Information threatening the security of critical infrastructures are exchanged over the Internet
through communication platforms, such as online discussion forums. This information can be …

This paper examines hacker behavior in dark forums and identifies its significant predictors
in the light of" leadership theory" for" communities of practice." We combine techniques from …