A security metric for structured security analysis of cyber-physical systems supporting SAE J3061

Steger, Marco; Karner, Michael; Hillebrand, Joachim; Rom, Werner; Römer, Kay Uwe

doi:10.1109/cpsdata.2016.7496425

Cited by 14 publications

(2 citation statements)

References 10 publications

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“…SAE J3061 addresses issues of security, while ISO 26262 deals with matters of safety. The SAE J3061 standard [14] recommends a mechanism for combining security and safety processes by creating communication links between cybersecurity and safety activities such as threat analysis and risk assessment, hazard analysis and risk assessment, safety requirements, and security requirements. The two concepts should be aligned in the design and development stage of selfdriving cars to make sure that the autonomous vehicle attains the necessary level of protection.…”

Section: Vulnerabilities Of Autonomous Vehiclesmentioning

confidence: 99%

Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

Almeaibed

Al‐Rubaye

Tsourdos

et al. 2021

IEEE Comm. Stand. Mag.

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With the new industrial revolution of digital transformation, more intelligence and autonomous systems can be adopted in the manufacturing transportation processes. Safety and security of autonomous vehicles (AV) have obvious advantages of reducing accidents and maintaining a cautious environment to drivers and pedestrians. Therefore, the transformation to data-driven vehicles is associated with the concept of digital twin, especially within the context of autonomous vehicle design. This also raises the need to adopt new safety designs to increase the resiliency and security of the whole autonomous vehicle system. To enable secure autonomous systems for smart manufacturing transportation in an end-to-end fashion, this article presents the main challenges and solutions considering safety and security functions. This article aims to identify a standard framework for vehicular digital twins that facilitate data collection, data processing, and analytics phases. To demonstrate the effectiveness of the proposed approach, a case study for vehicle follower model is analyzed when radar sensor measurements are manipulated in an attempt to cause a collision. Perceptive findings of this article can pave the way for future research aspects related to employing digital twins in the autonomous vehicle industry.

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Section: Vulnerabilities Of Autonomous Vehiclesmentioning

confidence: 99%

Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

Almeaibed

Al‐Rubaye

Tsourdos

et al. 2021

IEEE Comm. Stand. Mag.

View full text Add to dashboard Cite

show abstract

“…So, autonomous vehicles have several security and privacy challenges that need to be properly addressed. An approach for measurable security has been utilized in the European Dependable Embedded Wireless Infrastructure (DEWI) security project which proposed the metrics for measurable security in cyber-physical systems in automotive domain [8]. It is based on the European SHIELD approach [9] of dividing a system into subsystems and components and evaluates the security, privacy, and dependability parameters along with the scales defined for what the range of values represents.…”

Section: Introductionmentioning

confidence: 99%

A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog

Rauniyar

Hagos

Shrestha

2018

Mobile Information Systems

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With the advent of Internet of things (IoT) and cloud computing technologies, we are in the era of automation, device-to-device (D2D) and machine-to-machine (M2M) communications. Automated vehicles have recently gained a huge attention worldwide, and it has created a new wave of revolution in automobile industries. However, in order to fully establish automated vehicles and their connectivity to the surroundings, security, privacy, and dependability always remain a crucial issue. One cannot deny the fact that such automatic vehicles are highly vulnerable to different kinds of security attacks. Also, today’s such systems are built from generic components. Prior analysis of different attack trends and vulnerabilities enables us to deploy security solutions effectively. Moreover, scientific research has shown that a “group” can perform better than individuals in making decisions and predictions. Therefore, this paper deals with the measurable security, privacy, and dependability of automated vehicles through the crowd-based intelligence approach that is inspired from swarm intelligence. We have studied three use case scenarios of automated vehicles and systems with vehicular fog and have analyzed the security, privacy, and dependability metrics of such systems. Our systematic approaches to measuring efficient system configuration, security, privacy, and dependability of automated vehicles are essential for getting the overall picture of the system such as design patterns, best practices for configuration of system, metrics, and measurements.

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Reliability Analysis of Cyber-Physical Systems

Lazarova-Molnar

Mohamed

2020

Simulation for Cyber-Physical Systems Engineering

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A security metric for structured security analysis of cyber-physical systems supporting SAE J3061

Cited by 14 publications

References 10 publications

Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog

Reliability Analysis of Cyber-Physical Systems

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