Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …

Anomalies are occurrences in a dataset that are in some way unusual and do not fit the
general patterns. The concept of the anomaly is typically ill defined and perceived as vague …

We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A
sensor node communicates with a remote estimator through a wireless channel which may …

In 1998 and again in 1999, the Lincoln Laboratory of MIT conducted a comparative
evaluation of intrusion detection systems (IDSs) developed under DARPA funding. While …

Intrusion detection is a new, retrofit approach for providing a sense of security in existing
computers and data networks, while allowing them to operate in their current" open" mode …

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 …

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 …

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 …

Intrusion detection is an important area of research. Traditionally, the approach taken to find
attacks is to inspect the contents of every packet. However, packet inspection cannot easily …

Owing to the swift growth in cyber attacks, intrusion detection systems (IDSs) have become a
necessity to help safeguard personal and organizational assets. However, with the …