This survey paper discusses opportunities and threats of using artificial intelligence (AI)
technology in the manufacturing sector with consideration for offensive and defensive uses …

We survey the current techniques to cope with the problem of string matching that allows
errors. This is becoming a more and more relevant issue for many fast growing areas such …

Fraud is increasing dramatically with the expansion of modern technology and the global
superhighways of communication, resulting in the loss of billions of dollars worldwide each …

A method is introduced for detecting intrusions at the level of privileged processes. Evidence
is given that short sequences of system calls executed by running processes are a good …

This paper presents the current state of the art on attack and defense modeling approaches
that are based on directed acyclic graphs (DAGs). DAGs allow for a hierarchical …

Sophisticated online banking fraud reflects the integrative abuse of resources in social,
cyber and physical worlds. Its detection is a typical use case of the broad-based Wisdom …

Intrusion-detection systems aim at detecting attacks against computer systems and
networks, or against information systems in general, as it is difficult to provide provably …

With increasing Internet connectivity and traffic volume, recent intrusion incidents have
reemphasized the importance of network intrusion detection systems for combating …

This paper presents a taxonomy of intrusion detection systems that is then used to survey
and classify a number of research prototypes. The taxonomy consists of a classification first …

Misuse detection is the process of attempting to identify instances of network attacks by
comparing current activity against the expected actions of an intruder. Most current …