DocumentCode :
1944649
Title :
Smart electric vehicle charging: Security analysis
Author :
Mustafa, Mustafa A. ; Ning Zhang ; Kalogridis, Georgios ; Zhong Fan
Author_Institution :
Sch. of Comput. Sci., Univ. of Manchester Manchester, Manchester, UK
fYear :
2013
fDate :
24-27 Feb. 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper provides a comprehensive security analysis of the Electric Vehicle (EV) charging service in Smart Grid (SG) environment (i.e. the “smart” EV charging application). It first describes three EV charging scenarios, at home, at work and at public places. Based on these use-case scenarios, the paper presents a model for smart EV charging, consisted of application entities and interactions among them. It then illustrates potential message types communicated among these entities. Based on this model and the exchanged messages, the paper analyses security problems and potential security threats imposed on the entities, which leads to the specification of a set of security and privacy requirements. These requirements could be used to guide the future design of solutions for secure smart EV charging systems and/or a risk/impact assessment of such systems.
Keywords :
battery powered vehicles; computer network security; data privacy; message authentication; risk management; secondary cells; smart power grids; SG environment; impact assessment; message exchange; privacy requirements; risk assessment; secure smart EV charging system design; security analysis; security requirements; security threats; smart EV charging application; smart electric vehicle charging; smart grid environment; use-case scenario; Analytical models; Batteries; Companies; Electric potential; Electricity; Privacy; Security; Electric Vehicle (EV); Privacy; Security; Smart Charging; Smart Grid (SG);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-4894-2
Electronic_ISBN :
978-1-4673-4895-9
Type :
conf
DOI :
10.1109/ISGT.2013.6497830
Filename :
6497830
Link To Document :
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