Anomaly Detection Principles and Algorithms

✍ Scribed by Kishan G. Mehrotra,Chilukuri K. Mohan,HuaMing Huang (auth.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 229
• Series: Terrorism, Security, and Computation
• Edition: 1
• Category: Library

✦ Synopsis

This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses.

The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data.

With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets.

This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.

✦ Table of Contents

Front Matter ....Pages i-xxii
Front Matter ....Pages 1-1
Introduction (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 3-19
Anomaly Detection (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 21-32
Distance-Based Anomaly Detection Approaches (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 33-39
Clustering-Based Anomaly Detection Approaches (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 41-55
Model-Based Anomaly Detection Approaches (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 57-94
Front Matter ....Pages 95-95
Distance and Density Based Approaches (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 97-117
Rank Based Approaches (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 119-134
Ensemble Methods (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 135-152
Algorithms for Time Series Data (Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang)....Pages 153-189
Back Matter ....Pages 191-217

✦ Subjects

Data Mining and Knowledge Discovery