A Taxonomy of Vulnerabilities, Attacks, and Security Solutions in Industrial PLCs

Enoiu, Eduard Paul; Biçoku, Kejsi; Seceleanu, Cristina; Felderer, Michael

doi:10.1007/978-3-031-42212-6_1

Cited by 1 publication

(1 citation statement)

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“…Consequently, any modifications to sensors or actuators necessitate corresponding alterations to the source code and any subsequent actions. Moreover, PLC hardware and firmware are frequently proprietary and not publicly accessible, which, when coupled with the prevalent development approach, can give rise to security risks [15]. Although the event-driven architecture paradigm has existed for decades [16], its adoption in embedded software has gained popularity only recently, coinciding with the ascent of Industry 4.0 applications.…”

Section: Digital Twin Prototypesmentioning

confidence: 99%

Digital Twin Prototypes for Supporting Automated Integration Testing of Smart Farming Applications

Barbie,

Hasselbring,

Hansen

2024

Symmetry

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Industry 4.0 marks a major technological shift, revolutionizing manufacturing with increased efficiency, productivity, and sustainability. This transformation is paralleled in agriculture through smart farming, employing similar advanced technologies to enhance agricultural practices. Both fields demonstrate a symmetry in their technological approaches. Recent advancements in software engineering and the digital twin paradigm are addressing the challenge of creating embedded software systems for these technologies. Digital twins allow full development of software systems before physical prototypes are made, exemplifying a cost-effective method for Industry 4.0 software development. Our digital twin prototype approach mirrors software operations within a virtual environment, integrating all sensor interfaces to ensure accuracy between emulated and real hardware. In essence, the digital twin prototype acts as a prototype of its physical counterpart, effectively substituting it for automated testing of physical twin software. This paper discusses a case study applying this approach to smart farming, specifically enhancing silage production. We also provide a lab study for independent replication of this approach. The source code for a digital twin prototype of a PiCar-X by SunFounder is available open-source on GitHub, illustrating how digital twins can bridge the gap between virtual simulations and physical operations, highlighting the symmetry between physical and digital twins.

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Section: Digital Twin Prototypesmentioning

confidence: 99%