DocumentCode :
690654
Title :
A survey on bad data injection attack in smart grid
Author :
Dai Wang ; Xiaohong Guan ; Ting Liu ; Yun Gu ; Yanan Sun ; Yang Liu
Author_Institution :
Key Lab. for Intell. Networks & Network Security, Xi´an Jiaotong Univ., Xi´an, China
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Bad data injection (BDI) is one of the most threatening attacks in smart grid, as it may cause energy theft of end users, false dispatch on the distribution process, and device breakdown during power generation. In this paper, the BDI attack is defined as a cyber-physical attack which is a combination of two aspects: 1) on the cyber side, modern attack techniques are exploited to intrude and inject bad data into the information system; 2) on the physical side, attackers construct the bad data to bypass the traditional error detection in power systems. Related work on BDI construction and implementation are reviewed. An attack simulation is constructed to illustrate how to launch a BDI attack. The countermeasures against the BDI are also summarized from the views of cyber-orientation, physical-orientation. Finally, our work on cyber-physical fusion detection is presented.
Keywords :
power engineering computing; power generation dispatch; power system security; smart power grids; BDI attack; bad data injection attack; cyber-physical attack; cyber-physical fusion detection; device breakdown; energy distribution process; false power generation dispatch; smart grid; Authentication; Communication networks; Power measurement; Smart grids; Transmission line measurements; bad data injection; cyber-physical fusion; security; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/APPEEC.2013.6837157
Filename :
6837157
Link To Document :
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