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Secure Data Processing for Industrial Remote Diagnosis and Maintenance

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Walid Arabi
  • Function : Author
Reda Yaich

Abstract

In this work, we study the digitization of the industrial maintenance process, and its mutation towards new methods such as remote diagnosis (i.e., over the air) and preventive maintenance. First, we describe the advantage of remote and preventive maintenance. Then, we apply it to a reference industrial architecture and investigate its security vulnerabilities. Finally, we propose a secure framework that ensures the confidentiality of maintenance data during its life-cycle. We do so by using homomorphic encryption which not only ensures the confidentiality of maintenance data at transit and rest, but also their confidentiality in use. We give some implementation results regarding simple maintenance operations and discuss the viability of the approach.
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Dates and versions

hal-03034643 , version 1 (01-12-2020)

Identifiers

  • HAL Id : hal-03034643 , version 1

Cite

Walid Arabi, Reda Yaich, Aymen Boudguiga, Mawloud Omar. Secure Data Processing for Industrial Remote Diagnosis and Maintenance. The 15th International Conference on Risks and Security of Internet and Systems, 2020, Paris, France. ⟨hal-03034643⟩
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