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Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Paperback, 1st ed. 2020) Loot Price: R2,839
Discovery Miles 28 390
Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Paperback, 1st ed. 2020): Beibei Li, Rongxing...

Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems (Paperback, 1st ed. 2020)

Beibei Li, Rongxing Lu, Gaoxi Xiao

Series: Wireless Networks

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Loot Price R2,839 Discovery Miles 28 390 | Repayment Terms: R266 pm x 12*

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This book discusses cybersecurity issues of smart grid cyber-physical systems, focusing on the detection techniques against false data injection attacks. The authors discuss passive and proactive techniques that combat and mitigate two categories of false data injection attacks, false measurement data injections and false command data injections in smart grid cyber-physical systems. These techniques are easy to follow for either professionals or beginners. With this book, readers can quickly get an overview of this topic and get ideas of new solutions for false data injections in smart grid cyber-physical systems. Readers include researchers, academics, students, and professionals. Presents a comprehensive summary for the detection techniques of false data injection attacks in smart grid cyber-physical systems; Reviews false data injections for either measurement data or command data; Analyzes passive and proactive approaches to smart grid cyber-physical systems.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Wireless Networks
Release date: November 2021
First published: 2020
Authors: Beibei Li • Rongxing Lu • Gaoxi Xiao
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 157
Edition: 1st ed. 2020
ISBN-13: 978-3-03-058674-4
Categories: Books > Computing & IT > Internet > Network computers
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-058674-X
Barcode: 9783030586744

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