Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis (Record no. 76659)

000 -LEADER
fixed length control field 03382nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-030-37962-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214717.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200208s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030379629
-- 978-3-030-37962-9
082 04 - CLASSIFICATION NUMBER
Call Number 621.3815
100 1# - AUTHOR NAME
Author Rokka Chhetri, Sujit.
245 10 - TITLE STATEMENT
Title Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 235 p. 111 illus., 106 illus. in color.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS. · Provides an introduction to the data-driven modeling of cyber-physical systems (CPS), to aid in capturing the stochastic phenomenon affecting CPS; · Describes practical applications for securing the CPS as well as building the digital twin of the physical twin of CPS; · Includes coverage of machine learning and artificial intelligence algorithms for data-driven modeling of the CPS; Provides novel algorithms for handling not just Euclidean data, but also non-Euclidean data.
700 1# - AUTHOR 2
Author 2 Al Faruque, Mohammad Abdullah.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-37962-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
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
-- Electronic circuits.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cooperating objects (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microprocessors.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer architecture.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic Circuits and Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cyber-Physical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Processor Architectures.
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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