Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

Phishing attacks, which have existed for several decades and continue to be a major
problem today, constitute a severe threat in the cyber world. Attackers are adopting multiple …

Phishing was a threat in the cyber world a couple of decades ago and still is today. It has
grown and evolved over the years as phishers are getting creative in planning and …

Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Machine learning is widely used to develop classifiers for security tasks. However, the
robustness of these methods against motivated adversaries is uncertain. In this work, we …

We investigate a family of poisoning attacks against Support Vector Machines (SVM). Such
attacks inject specially crafted training data that increases the SVM's test error. Central to the …

The web has become an essential part of our society and is currently the main medium of
information delivery. Billions of users browse the web on a daily basis, and there are single …

Learning-based classifiers are increasingly used for detection of various forms of malicious
data. However, if they are deployed online, an attacker may attempt to evade them by …

Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

With the increased complexity of modern computer attacks, there is a need for defenders not
only to detect malicious activity as it happens, but also to predict the specific steps that will …