Context-aware security for the Intra-Electric Vehicle Network under energy constraints

Smart Vehicle applications are generally designed to ensure the driver’s and passenger’s safety as well as to improve the traffic management and provide convenience services. On the other hand, the researchers and industrialists consider Electric Vehicle as a key technology contributing to the reduc...

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Bibliographic Details
Published inComputers & electrical engineering Vol. 97; p. 107517
Main Authors Fraiji, Yosra, Ben Azzouz, Lamia, Trojet, Wassim, Hoblos, Ghaleb, Azouz Saidane, Leila
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 01.01.2022
Elsevier BV
Subjects
Adaptive security
Automobile safety
Automotive parts
Charging stations
Cloud computing
Context
Cybersecurity
Driving conditions
Electric vehicles
Energy constraints
Intelligent vehicles
Intra-Electric Vehicle Sensor Network
Remote control
Sensors
State of charge
Traffic
Traffic management
Traffic safety
Charging stations
Energy constraints
Intra-Electric Vehicle Sensor Network
Adaptive security
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Summary:Smart Vehicle applications are generally designed to ensure the driver’s and passenger’s safety as well as to improve the traffic management and provide convenience services. On the other hand, the researchers and industrialists consider Electric Vehicle as a key technology contributing to the reduction of CO2 emissions. Many attacks, such as vehicle remote control and engine management software reboot, can be performed on the Smart Electric Vehicle Network and affect the driver’s safety. To protect the Smart Vehicle traffic, it is necessary to protect all the involved systems (cloud services, applications, automotive components, Intra-Vehicle Network, maintenance and diagnostic tools, etc.). The main objective of this work is to secure the communication of the in-vehicle sensors by proposing a context-aware security solution based on the dynamic driving context. This solution applies a set of security strategies according to the State Of Charge (SOC), the distance to the nearest available charging station, the type of sensors, the sensor resources (memory and processing) and the traffic conditions. Simulation experiments were conducted to evaluate the proposed approach in terms of the trade-off between security and energy.
ISSN:0045-7906
1879-0755
DOI:10.1016/j.compeleceng.2021.107517