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ARES: Automated Risk Estimation in Smart Sensor Environments.

Athanasios Dimitriadis1, Jose Luis Flores2, Boonserm Kulvatunyou3

  • 1Department of Applied Informatics, University of Macedonia, 156 Egnatia Str., 54636 Thessaloniki, Greece.

Sensors (Basel, Switzerland)
|August 23, 2020
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Summary
This summary is machine-generated.

This study introduces ARES, an automated risk estimation approach for smart sensor environments. ARES integrates with business process management to enhance security in Industry 4.0 adoption.

Keywords:
Common Security Standardsbusiness process contextinformation system risk assessmentsmart sensor environments

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Industrial Automation

Background:

  • Industry 4.0 requires integrability, interoperability, composability, and security.
  • Current enterprise systems integration addresses the first three, but security risk management is often a separate first step.
  • Security risks are significantly influenced by the assets supporting business processes.

Purpose of the Study:

  • To propose an automated risk estimation approach (ARES) for smart sensor environments.
  • To integrate automated risk estimation with business process model life cycle management.
  • To address the security challenges in Industry 4.0 adoption.

Main Methods:

  • ARES utilizes standards for platform, vulnerability, weakness, and attack pattern enumeration.
  • A well-known vulnerability scoring system is employed within ARES.
  • A computer-aided procedure for mapping attack patterns to platforms is proposed.

Main Results:

  • ARES integrates automated risk estimation into the business process model life cycle.
  • Demonstrated applicability using a microSCADA controller and a Business Process Cataloging and Classification System prototype.
  • Evaluation results indicate the effectiveness of the proposed approach, with some limitations identified.

Conclusions:

  • ARES provides an automated method for risk estimation in smart sensor environments, crucial for Industry 4.0.
  • The integration of ARES with business process management enhances security considerations throughout the life cycle.
  • The proposed approach and mapping procedure offer a valuable contribution to securing industrial cyber-physical systems.