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Detection of false data injection at...

Li, Beibei.

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Detection of false data injection attacks in smart grid cyber-physical systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Detection of false data injection attacks in smart grid cyber-physical systems/ by Beibei Li, Rongxing Lu, Gaoxi Xiao.
作者:	Li, Beibei.
其他作者:	Lu, Rongxing.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xvi, 157 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Foundations and Related Literature -- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks -- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks -- DDOA: Dirichlet-Based Detection for Opportunistic Attacks -- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS -- Conclusion.
Contained By:	Springer Nature eBook
標題:	Smart power grids - Security measures. -
電子資源:	https://doi.org/10.1007/978-3-030-58672-0
ISBN:	9783030586720

Detection of false data injection attacks in smart grid cyber-physical systems
Li, Beibei.

Detection of false data injection attacks in smart grid cyber-physical systems[electronic resource] /by Beibei Li, Rongxing Lu, Gaoxi Xiao. - Cham :Springer International Publishing :2020. - xvi, 157 p. :ill. (some col.), digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..

Introduction -- Foundations and Related Literature -- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks -- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks -- DDOA: Dirichlet-Based Detection for Opportunistic Attacks -- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS -- Conclusion.

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.

ISBN: 9783030586720

Standard No.: 10.1007/978-3-030-58672-0doiSubjects--Topical Terms:

2045470
Smart power grids
--Security measures.

LC Class. No.: TK3105 / .L5 2020

Dewey Class. No.: 621.310684

Detection of false data injection attacks in smart grid cyber-physical systems
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505 0 $a Introduction -- Foundations and Related Literature -- SPNTA: Stochastic Petri-Net-Based Reliability Analysis under Topology Attacks -- DHCD: Distributed Host-Based Collaborative Detection for FDI Attacks -- DDOA: Dirichlet-Based Detection for Opportunistic Attacks -- PFDD: On Feasibility and Limitations of Detecting FDI Attacks Using DFACTS -- Conclusion.
520 $a 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.
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