Topic
Cyber-physical system
About: Cyber-physical system is a research topic. Over the lifetime, 11096 publications have been published within this topic receiving 162489 citations. The topic is also known as: CPS.
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03 Jun 2012
TL;DR: In this article, the authors propose a performance verification technique for cyber-physical systems that consist of multiple control loops implemented on a distributed architecture, and they show how to combine functional analysis techniques with model checking in order to derive a delay-frequency interface that quantifies the interleavings between messages with worst-case delays and those with smaller delays.
Abstract: We propose a performance verification technique for cyber-physical systems that consist of multiple control loops implemented on a distributed architecture. The architectures we consider are fairly generic and arise in domains such as automotive and industrial automation; they are multiple processors or electronic control units (ECUs) communicating over buses like FlexRay and CAN. Current practice involves analyzing the architecture to estimate worst-case end-to-end message delays and using these delays to design the control applications. This involves a significant amount of pessimism since the worst-case delays often occur very rarely. We show how to combine functional analysis techniques with model checking in order to derive a delay-frequency interface that quantifies the interleavings between messages with worst-case delays and those with smaller delays. In other words, we bound the frequency with which control messages might suffer the worst-case delay. We show that such a delay-frequency interface enables us to verify much tigher control performance properties compared to what would be possible with only worst-case delay bounds.
66 citations
TL;DR: Since a false data injection (FDI) attack that compromises the data integrity in the cyber/communication network is one of the most challenging threats for smart microgrids, it is investigated in detail in this paper.
Abstract: In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids, the cyber system and physical process are tightly coupled. Due to the cyber system’s vulnerabilities, any cyber incidents can have economic and physical impacts on their operations. In power electronics-intensive smart microgrids, cyber-attacks can have much more harmful and devastating effects on their operation and stability due to low inertia, especially in islanded operation. In this paper, the cyber–physical systems in smart microgrids are briefly studied. Then, the cyber-attacks on data availability, integrity, and confidentiality are discussed. Since a false data injection (FDI) attack that compromises the data integrity in the cyber/communication network is one of the most challenging threats for smart microgrids, it is investigated in detail in this paper. Such FDI attacks can target state estimation, voltage and frequency control, and smart microgrids’ protection systems. The economic and physical/technical impacts of the FDI attacks on smart microgrids are also reviewed in this paper. The defensive strategies against FDI attacks are classified into protection strategies, in which selected meter measurements are protected, and detection/mitigation strategies, based on either static or dynamic detection. In this paper, implementation examples of FDI attacks’ construction and detection/mitigation in smart microgrids are provided. Samples of recent cyber-security projects in the world, and critical cyber-security standards of smart grids, are presented. Finally, future trends of cyber-security in smart microgrids are discussed.
66 citations
TL;DR: In this article, a semi-supervised approach that automatically integrates the knowledge about unknown malware from already available and cheap unlabeled data into the detection system is proposed, which does not require expert effort to update the database of the detection engine.
66 citations
TL;DR: Upcoming demands on automation systems are shown and new strategies for software deployment of automation applications and communication systems to fulfill these requirements are discussed.
66 citations
01 Jan 2015
TL;DR: This work proposes an approach for aligning CPS safety and security at early development phases by synchronizing safety andSecurity lifecycles based on ISA84 and ISA99 standards, and developing an unified model - Failure-Attack-CounTermeasure (FACT) Graph.
Abstract: Safety and security are two key properties of Cyber-Physical Systems (CPS). Safety is aimed at protecting the systems from accidental failures in order to avoid hazards, while security is focused on protecting the systems from intentional attacks. They share identical goals - protecting CPS from failing. When aligned within a CPS, safety and security work well together in providing a solid foundation of an invincible CPS, while weak alignment may produce inefficient development and partially-protected systems. The need of such alignment has been recognized by the research community, the industry, as well as the International Society of Automation (ISA), which identified a need of alignment between safety and security standards ISA84 (IEC 61511) and ISA99 (IEC 62443). We propose an approach for aligning CPS safety and security at early development phases by synchronizing safety and security lifecycles based on ISA84 and ISA99 standards. The alignment is achieved by merging safety and security lifecycle phases, and developing an unified model - Failure-Attack-CounTermeasure (FACT) Graph. The FACT graph incorporates safety artefacts (fault trees and safety countermeasures) and security artefacts (attack trees and security countermeasures), and can be used during safety and security alignment analysis, as well as in later CPS development and operation phases, such as verification, validation, monitoring, and periodic safety and security assessment.
66 citations