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Performance Evaluation of Attribute-Based Encryption in Automotive Embedded Platform for Secure Software Over-The-Air Update.
La Manna, Michele; Treccozzi, Luigi; Perazzo, Pericle; Saponara, Sergio; Dini, Gianluca.
Afiliação
  • La Manna M; Department of Information Engineering (DII), University of Pisa, 56122 Pisa, Italy.
  • Treccozzi L; Department of Information Engineering (DINFO), University of Florence, 50121 Florence, Italy.
  • Perazzo P; Department of Information Engineering (DII), University of Pisa, 56122 Pisa, Italy.
  • Saponara S; Department of Information Engineering (DII), University of Pisa, 56122 Pisa, Italy.
  • Dini G; Department of Information Engineering (DII), University of Pisa, 56122 Pisa, Italy.
Sensors (Basel) ; 21(2)2021 Jan 13.
Article em En | MEDLINE | ID: mdl-33450895
This paper aims to show that it is possible to improve security for over the air update functionalities in an automotive scenario through the use of a cryptographic scheme, called "Attribute-Based-Encryption" (ABE), which grants confidentiality to the software/firmware update done Over The Air (OTA). We demonstrate that ABE is seamlessly integrable into the state of the art solutions regarding the OTA update by showing that the overhead of the ABE integration in terms of computation time and its storage is negligible w.r.t. the other overheads that are introduced by the OTA process, also proving that security can be enhanced with a minimum cost. In order to support our claim, we report the experimental results of an implementation of the proposed ABE OTA technique on a Xilinx ZCU102 evaluation board, which is an automotive-oriented HW/SW platform that is equipped with a Zynq UltraScale+ MPSoC chip that is representative of the computing capability of real automotive Electronic Control Units (ECUs).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article