Introduction to Machine Learning with Applications in Information Security, Second Edition
provides a classroom-tested introduction to a wide variety of machine learning and deep …

In this era of the information age, malware has become a serious threat. Malware creators
create such kind of malware which can damage the entire computer, spread over the …

Statistical detection of mass malware has been shown to be highly successful. However, this
type of malware is less interesting to cyber security officers of larger organizations, who are …

Web application/service is now omnipresent but its security risks, such as malware and
vulnerabilities, are indeed underestimated. In this paper, we propose a protective, extensible …

Metamorphic malware changes its internal structure with each infection, while maintaining
its original functionality. Such malware can be difficult to detect, particularly using static …

Recent work has shown that a technique based on structural entropy measurement provides
an effective means of detecting metamorphic malware. This previous work relies on file …

Predicting how an individual will perceive the visual complexity of a piece of information is
still a relatively unexplored domain, although it can be useful in many contexts such as for …

In this article, we consider the problem of detecting software that has been pirated and
modified. We analyze a variety of detection techniques that have been previously studied in …

Malware concealment is the predominant strategy for malware propagation. Black hats
create variants of malware based on polymorphism and metamorphism. Malware variants …

This work focuses on a specific front of the malware detection arms-race, namely the
detection of persistent, disk-resident malware. We exploit normalised compression distance …