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

Outliers once upon a time regarded as noisy data in statistics, has turned out to be an
important problem which is being researched in diverse fields of research and application …

In the statistics community, outlier detection for time series data has been studied for
decades. Recently, with advances in hardware and software technology, there has been a …

Due to the continued digitization of industrial and societal processes, including the
deployment of networked sensors, we are witnessing a rapid proliferation of time-ordered …

This survey attempts to provide a comprehensive and structured overview of the existing
research for the problem of detecting anomalies in discrete/symbolic sequences. The …

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 …

Security of computer systems is essential to their acceptance and utility. Computer security
analysts use intrusion detection systems to assist them in maintaining computer system …

Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

We describe an unsupervised host-based intrusion detection system based on system call
arguments and sequences. We define a set of anomaly detection models for the individual …

Intrusion detection is an important part of networked-systems security protection. Although
commercial products exist, finding intrusions has proven to be a difficult task with limitations …