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Communication Vulnerabilities in Electric Mobility HCP Systems: A Semi-Quantitative Analysis

Communication Vulnerabilities in Electric Mobility HCP Systems: A Semi-Quantitative Analysis

Authors :
Robert Basmadjian
Source :
Smart Cities, Vol 4, Iss 23, Pp 405-428 (2021), Smart Cities, Volume 4, Issue 1, Pages 23-428
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

An electric mobility ecosystem, which resembles a human-centred cyber physical (HCP) system, consists of several interacting sub-systems that constantly communicate with each other. Cyber-security of such systems is an important aspect as vulnerability of one sub-system propagates to the entire system, thus putting it into risk. Risk assessment requires modelling of threats and their impacts on the system. Due to lack of available information on all possible threats of a given system, it is generally more convenient to assess the level of vulnerabilities either qualitatively or semi-quantitatively. In this paper, we adopt the common vulnerability scoring system (CVSS) methodology in order to assess semi-quantitatively the vulnerabilities of the communication in electric mobility human-centred cyber physical systems. To this end, we present the most relevant sub-systems, their roles as well as exchanged information. Furthermore, we give the considered threats and corresponding security requirements. Using the CVSS methodology, we then conduct an analysis of vulnerabilities for every pair of communicating sub-systems. Among them, we show that the sub-systems between charging station operator (CSO) and electric vehicle supply equipment (charging box) as well as CSO and electric mobility service provider are the most vulnerable in the end-to-end chain of electric mobility. These results pave the way to system designers to assess the operational security risks, and hence to take the most adequate decisions, when implementing such electric mobility HCP systems.

Details

ISSN :
26246511
Volume :
4
Database :
OpenAIRE
Journal :
Smart Cities
Accession number :
edsair.doi.dedup.....93439baf7ea4e91b2c5b035b2b35f82f
Full Text :
https://doi.org/10.3390/smartcities4010023