Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …

As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …

Cybersecurity attacks are exponentially increasing, making existing detection mechanisms
insufficient and enhancing the necessity to design more relevant prediction models and …

Abstract Malicious Uniform Resource Locators (URLs) embedded in emails or Twitter posts
have been used as weapons for luring susceptible Internet users into executing malicious …

The problem of social spam detection has been traditionally modeled as a supervised
classification problem. Despite the initial success of this detection approach, later analysis of …

This paper tests disruption strategies in Twitter networks containing malicious URLs used in
drive-by download attacks. Cybercriminals use popular events that attract a large number of …

Marketing professionals face challenges of increasing complexity to adapt classic marketing
strategies to the phenomenon of social networks. Companies are currently trying to take …

State-sponsored cyber groups have long utilized spear phishing to pierce government
networks. Spear phishing relies on social engineering to trick individuals into revealing …

This work proposes a hybrid methodology that enables the integration of structured and
unstructured data to support the decision-making process in public security contexts. The …

Most of the existing log anomaly detection methods suffer from scalability and numerous
false positives. Besides, they cannot rank the severity level of abnormal events. This paper …