Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …

As our professional, social, and financial existences become increasingly digitized and as
our government, healthcare, and military infrastructures rely more on computer technologies …

Intrusion detection systems rely on a wide variety of observable data to distinguish between
legitimate and illegitimate activities. We study one such observable-sequences of system …

Intrusions pose a serious securing risk in a network environment. Network intrusion
detection system aims to identify attacks or malicious activity in a network with a high …

Intrusion detection has emerged as an important approach to network security. In this paper,
we adopt an anomaly detection approach by detecting possible intrusions based on …

Outlier detection has been a very important concept in the realm of data analysis. Recently,
several application domains have realized the direct mapping between outliers in data and …

We investigate the basic trade-offs, analysis and decision processes involved in information
security and intrusion detection, as well as possible application of game theoretic concepts …

This chapter provides the overview of the state of the art in intrusion detection research.
Intrusion detection systems are software and/or hardware components that monitor …

While the spread of the Internet has made the network ubiquitous, it has also rendered
networked systems vulnerable to malicious attacks orchestrated from anywhere. These …

An Intrusion Detection System (IDS) is a program that analyzes what happens or has
happened during an execution and tries to find indications that the computer has been …