Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines

TL;DR

This paper explores cybersecurity challenges and safety considerations for autonomous forestry machines, emphasizing the need for holistic risk assessment methods to ensure CE certification and safe operation.

Contribution

It identifies key cybersecurity and safety challenges in autonomous forestry systems and proposes integrating safety and cybersecurity risk assessments with AI considerations.

Findings

Identified cybersecurity challenges in autonomous forestry machines

Highlighted the relationship between safety and cybersecurity risk assessments

Emphasized the need for holistic assurance methodologies

Abstract

The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challenges towards CE-certified autonomous forestry machines focusing on cybersecurity and safety. Furthermore, we discuss the relationship between safety and cybersecurity risk assessment and their relation to AI, highlighting the need for a holistic methodology for their assurance.