Share
Anomaly Detection as a Service: Challenges, Advances, and Opportunities
Jean-Arsène Yao
(Author)
·
Xiaokui Shu
(Author)
·
Long Cheng
(Author)
·
Springer
· Paperback
Anomaly Detection as a Service: Challenges, Advances, and Opportunities - Yao ; Shu, Xiaokui ; Cheng, Long
£ 64.27
£ 71.41
You save: £ 7.14
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Thursday, July 11 and
Friday, July 12.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Anomaly Detection as a Service: Challenges, Advances, and Opportunities"
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. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.