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Cyber security of the smart grid: At...

Hahn, Adam Lee.

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Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation./
Author:	Hahn, Adam Lee.
Description:	139 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:	Dissertation Abstracts International74-10B(E).
Subject:	Engineering, Computer. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566005
ISBN:	9781303167355

Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation.
Hahn, Adam Lee.

Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation. - 139 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.

Thesis (Ph.D.)--Iowa State University, 2013.

While smart grid technologies are deployed to help achieve improved grid resiliency and efficiency, they also present an increased dependency on cyber resources which may be vulnerable to attack. This dissertation introduces three components that provide new methods to enhancing the cyber security of the smart grid.

ISBN: 9781303167355Subjects--Topical Terms:

1669061
Engineering, Computer.

Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation.
LDR:02671nam a2200313 4500 001 1968305
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020 $a 9781303167355
035 $a (MiAaPQ)AAI3566005
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100 1 $a Hahn, Adam Lee. $3 2105451
245 1 0 $a Cyber security of the smart grid: Attack exposure analysis, detection algorithms, and testbed evaluation.
300 $a 139 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
500 $a Adviser: Manimaran Govindarasu.
502 $a Thesis (Ph.D.)--Iowa State University, 2013.
520 $a While smart grid technologies are deployed to help achieve improved grid resiliency and efficiency, they also present an increased dependency on cyber resources which may be vulnerable to attack. This dissertation introduces three components that provide new methods to enhancing the cyber security of the smart grid.
520 $a First, a quantitative exposure analysis model is presented to assess risks inherited from the communication and computation of critical information. An attack exposure metric is then presented to provide a quantitative means to analyze the model. The metric's utility is then demonstrated by analyzing smart grid environments to contrast the effectiveness of various protection mechanisms and to evaluate the impact of new cyber vulnerabilities.
520 $a Second, a model-based intrusion detection system is introduced to identify attacks against electric grid substations. The system expands previous research to incorporate temporal and spatial analysis of substation control events in order to differentiate attacks from normal communications. This method also incorporates a hierarchical detection approach to improve correlation of physical system events and identify sophisticated coordinated attacks.
520 $a Finally, the PowerCyber testbed is introduced as an accurate cyber-physical environment to help facilitate future smart grid cyber security research needs. The testbed implements a layered approach of control, communication, and power system layers while incorporating both industry standard components along with simulation and emulation techniques. The testbed's efficacy is then evaluated by performing various cyber attacks and exploring their impact on physical grid simulations.
590 $a School code: 0097.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Information Science. $3 1017528
690 $a 0464
690 $a 0723
710 2 $a Iowa State University. $b Electrical and Computer Engineering. $3 1018524
773 0 $t Dissertation Abstracts International $g 74-10B(E).
790 $a 0097
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566005