Anomaly Detection As a Service: Challenges, Advances, and Opportunities

Ebook Details


Danfeng Yao, Xiaokui Shu, Long Cheng

Year 2017
Pages 173
Publisher Morgan &amp
Language en
ISBN 9781681731094
File Size 3.15 MB
File Format PDF
Download Counter 293
Amazon Link

Ebook Description

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation.