Central Library

Anomaly Detection as a Service (Record no. 85111)

000 -LEADER
fixed length control field 04166nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-02354-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163912.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031023545
-- 978-3-031-02354-5
082 04 - CLASSIFICATION NUMBER
Call Number 005.8
100 1# - AUTHOR NAME
Author Yao, Danfeng (Daphne).
245 10 - TITLE STATEMENT
Title Anomaly Detection as a Service
Sub Title Challenges, Advances, and Opportunities /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 157 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Information Security, Privacy, and Trust,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Acknowledgments -- Introduction -- Threat Models -- Local vs. Global Program Anomaly Detection -- Program Analysis in Data-driven Anomaly Detection -- Anomaly Detection in Cyber-Physical Systems -- Anomaly Detection on Network Traffic -- Automation and Evaluation for Anomaly Detection Deployment -- Anomaly Detection from the Industry's Perspective -- Exciting New Problems and Opportunities -- Bibliography -- Authors' Biographies -- Index.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Shu, Xiaokui.
700 1# - AUTHOR 2
Author 2 Cheng, Long.
700 1# - AUTHOR 2
Author 2 Stolfo, Salvatore J.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02354-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data protection.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data and Information Security.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1945-9750
912 ## -
-- ZDB-2-SXSC

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