Entry Liu:2011:FDI from tissec.bib
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BibTeX entry
@Article{Liu:2011:FDI,
author = "Yao Liu and Peng Ning and Michael K. Reiter",
title = "False data injection attacks against state estimation
in electric power grids",
journal = j-TISSEC,
volume = "14",
number = "1",
pages = "13:1--13:??",
month = may,
year = "2011",
CODEN = "ATISBQ",
DOI = "https://doi.org/10.1145/1952982.1952995",
ISSN = "1094-9224 (print), 1557-7406 (electronic)",
ISSN-L = "1094-9224",
bibdate = "Thu Jun 2 07:27:23 MDT 2011",
bibsource = "http://portal.acm.org/;
http://www.math.utah.edu/pub/tex/bib/tissec.bib",
abstract = "A power grid is a complex system connecting electric
power generators to consumers through power
transmission and distribution networks across a large
geographical area. System monitoring is necessary to
ensure the reliable operation of power grids, and state
estimation is used in system monitoring to best
estimate the power grid state through analysis of meter
measurements and power system models. Various
techniques have been developed to detect and identify
bad measurements, including interacting bad
measurements introduced by arbitrary, nonrandom causes.
At first glance, it seems that these techniques can
also defeat malicious measurements injected by
attackers. In this article, we expose an unknown
vulnerability of existing bad measurement detection
algorithms by presenting and analyzing a new class of
attacks, called false data injection attacks, against
state estimation in electric power grids.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Information and System Security",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J789",
}
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10(1)3,
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15(4)16
- Reiter, Michael K.,
1(1)66,
2(2)138,
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14(4)32,
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- transmission,
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- unknown,
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- used,
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2(1)65,
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14(4)28,
18(1)1,
18(2)5
- vulnerability,
2(4)416,
7(2)319,
12(2)11,
13(4)38,
14(1)7,
17(1)1,
17(3)11