Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations

Authors:
Inna Skarga-Bandurova – School of Engineering, Computing and Mathematics, Oxford Brookes University
Igor Kotsiuba – Institute of Hazard, Risk and Resilience, Durham University
Tetiana Biloborodova – Saarland University of Applied Science, HTW Saar

Abstract:
The paper analyses cyber security challenges of smart cities with a particular focus on the intelligent integrated and interconnected electric vehicle (EV) charging infrastructure. The analysis indicates that not all innovative elements and smart city solutions have adequate cybersecurity protection. Digital technologies vary considerably in terms of the level of potential risks, with certain novel technologies — such as V2G, smart charging, and smart energy management — posing higher risks than others. It is intended to lay a foundation for securing EV charging infrastructure by analysing problem context and data to be protected, including attack surfaces and cybersecurity threats and vulnerabilities in the EV ecosystem, analysing standardisation for the EV connection to the charging infrastructure, and providing a set of recommendations and best practices to securing EV charging infrastructure.
Keywords—cyber security, electric vehicle, smart charging infrastructure, V2G

Read the full paper here.


Assessing Impact, Performance and Sustainability Potential of Smart City Projects: Towards a Case Agnostic Evaluation Framework

RESPONSE  PUBLICATION

Authors: Konstantinos Kourtzanidis , Komninos Angelakoglou , Vasilis Apostolopoulos , Paraskevi Giourka and Nikolaos Nikolopoulos

Centre for Research and Technology Hellas, Chemical Process and Energy Resources Institute, Thermi, GR-57001
Thessaloniki, Greece; angelakoglou@certh.gr (K.A.); v.apostolopoulos@certh.gr (V.A.); giourka@certh.gr (P.G.);
n.nikolopoulos@certh.gr (N.N.)
* Correspondence: kourtzanidis@certh.gr

Abstract: We report on a novel evaluation framework to globally assess the footprint of smart cities and communities (SCC) projects, being also expandable to the case of smart grid related projects. The uniform smart city evaluation (USE) framework is constructed upon three complementary evaluation axes: the first one aims to weigh up the success of a SCC project based on performance metrics against pre-defined project-specific target values. The second axis focuses on the project’s impact towards the sustainability of a city and it is bench-marked against national and international key objectives arising from strategic plans. This bench-marking feeds the third axis which provides a more inclusive evaluation against four pre-defined and widely acclaimed sectors of interest. The steps to be followed for the uniform evaluation of each axis and corresponding index are presented in detail, including necessary key performance indicator (KPI) normalization, weighting, and aggregation methods. The resulting indices’ scores for each axis (namely project performance index, sustainability impact index, and sustainability performance index) can be post-processed with adequate data processing and visualization tools to extract important information on the extent to which the range of success of a SCC project contributes to the city sustainability progress. Illustrative examples from an on-going SCC project are provided to highlight the strengths of the approach. The proposed framework can be used to compare multiple projects within a city and sustainability and project performance in different cities, evaluate the interventions chosen per project against city needs, benchmark and design future projects (with, e.g., reverse engineering, projections), as well as evaluate various spatial and temporal scales.

Keywords: smart cities; evaluation; frameworks; impact; KPI

Publication