Integrated Functional Safety and Security Diagnosis Mechanism of CPS Based on Blockchain

Gu, Ai; Yin, Zhenyu; Cui, Chuanyu; Li, Yue

doi:10.1109/access.2020.2967453

Cited by 16 publications

(6 citation statements)

References 32 publications

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“…IP packets are analyzed and consolidated to obtain source, destination IP, data volume, application protocol, and other information required. The advantage of doing so is that it does not change the network structure, increase the network load, or take up any network resources [ 16 ]. In other words, it is independent of the waiting time of the network and thus has no impact on the network usage by the users.…”

Section: Algorithm and Methodsmentioning

confidence: 99%

Network Blockchain Security Sharing Model Based on Fuzzy Logic

Xiao

2022

Computational Intelligence and Neuroscience

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In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain security sharing model based on fuzzy logic. In security sharing, network blockchains are often maintained by many parties. This poses new potential threats and challenges to privacy protection in these multiparty network blockchains. This paper proposes a research scheme for a network blockchain security sharing model based on fuzzy logic. The tampering of the protected network blockchain is prevented by blockchain, and the fuzzy logic algorithm is used to ensure its confidentiality. This solution allows the exchange in the protected network blockchain and the security of transaction information based on the fuzzy logic algorithm. According to the results of the experiments, this method can ensure security sharing of the network blockchain with high practicality and achieve the expected design effect.

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Section: Algorithm and Methodsmentioning

confidence: 99%

Network Blockchain Security Sharing Model Based on Fuzzy Logic

Xiao

2022

Computational Intelligence and Neuroscience

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“…The statistical results obtained on the reported risks in CPS from our studies show that the most reported impact of the identified risks consisted of (1) communication disruptions 57,105 , (2) system or sub‐system being compromised, 106,107 and (3) leading to system's abnormal behavior 108 and thus failure as a result of a malicious attack 109–111 . Another frequently reported impact is related to the physical aspect of the CPS and that is the equipment failure leading to financial losses, for example, Lopez et al 73 …”

Section: Findings Of Our Reviewmentioning

confidence: 76%

“…The mitigation measures proposed over the years range from physically placing security personnel guarding the system, 53 to controlling access to the system or data and 54 finally to integrating encryption schemes 55 ensuring confidentiality, authenticity, and integrity 56 of the data being transmitted between different components of the system. Most of the mitigation measures proposed over the years are driven either from exiting literature or internationally recognized standards introduced against the development of safety and security‐critical infrastructures 57 …”

Section: Related Workmentioning

confidence: 99%

Security risks in cyber physical systems—A systematic mapping study

Zahid

Inayat

Daneva

et al. 2021

J Software Evolu Process

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The increased need for constant connectivity and complete automation of existing systems fuels the popularity of Cyber Physical Systems (CPS) worldwide. Increasingly more, these systems are subjected to cyber attacks. In recent years, many major cyber‐attack incidents on CPS have been recorded and, in turn, have been raising concerns in their users' minds. Unlike in traditional IT systems, the complex architecture of CPS consisting of embedded systems integrated with the Internet of Things (IoT) requires rather extensive planning, implementation, and monitoring of security requirements. One crucial step to planning, implementing, and monitoring of these requirements in CPS is the integration of the risk management process in the CPS development life cycle. Existing studies do not clearly portray the extent of damage that the unattended security issues in CPS can cause or have caused, in the incidents recorded. An overview of the possible risk management techniques that could be integrated into the development and maintenance of CPS contributing to improving its security level in its actual environment is missing. In this paper, we are set out to highlight the security requirements and issues specific to CPS that are discussed in scientific literature and to identify the state‐of‐the‐art risk management processes adopted to identify, monitor, and control those security issues in CPS. For that, we conducted a systematic mapping study on the data collected from 312 papers published between 2000 and 2020, focused on the security requirements, challenges, and the risk management processes of CPS. Our work aims to form an overview of the security requirements and risks in CPS today and of those published contributions that have been made until now, towards improving the reliability of CPS. The results of this mapping study reveal (i) integrity authentication and confidentiality as the most targeted security attributes in CPS, (ii) model‐based techniques as the most used risk identification and assessment and management techniques in CPS, (iii) cyber‐security as the most common security risk in CPS, (iv) the notion of “mitigation measures” based on the type of system and the underline internationally recognized standard being the most used risk mitigation technique in CPS, (v) smart grids being the most targeted systems by cyber‐attacks and thus being the most explored domain in CPS literature, and (vi) one of the major limitations, according to the selected literature, concerns the use of the fault trees for fault representation, where there is a possibility of runtime system faults not being accounted for. Finally, the mapping study draws implications for practitioners and researchers based on the findings.

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“…After the competition, the selected vendors analyze the immutable product-in-use data maintained in blockchain to judge if the product has problems (Shahbazi and Byun, 2021a). An example is storing the functional integrity level and the stated functional error threshold in a smart contract and comparing the two parameters to judge if the product is blooey (Gu et al , 2020). If have, the vendors then explore what and where the problems are, otherwise they can predict the downtime of the product or its parts (Shahbazi and Byun, 2021b).…”

Section: Blockchain Applications In Smart Manufacturing Systemsmentioning

confidence: 99%

Blockchain for smart manufacturing systems: a survey

Song

Zhu

2021

CMS

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Purpose Smart manufacturing is the prime gripper for the transformation and upgrading of the manufacturing industry. Smart manufacturing systems (SMSs) largely determine how smart manufacturing evolves in technical and organizational dimensions and how it realizes values in products, production or services. SMSs are growing rapidly and receiving tons of attention from academic research and industrial practice. However, the development of SMSs is still in its fancy, and many issues wait to be identified and solved, such as single point failures, low transparency and ineffective resource sharing. Blockchain, an emerging technology deriving from Bitcoin, is competent to aid SMSs to conquer troubles due to its decentralization, traceability, trackability, disintermediation, auditability and etc. The purpose of this paper is to investigate the blockchain applications in SMSs, seek out the challenges faced by blockchain-enabled SMSs (BSMSs) and provide referable research directions and ideas. Design/methodology/approach A comprehensive literature review as a survey is conducted in this paper. The survey starts by introducing blockchain concepts, followed by the descriptions of a literature review method and the blockchain applications throughout the product life cycle in SMSs. Then, the key issues and challenges confronting BSMSs are discussed and some possible research directions are also proposed. It finally presents qualitative and quantitative descriptions of BSMSs, along with some conclusions and implications. Findings The findings of this paper present a deep understanding about the current status and challenges of blockchain adoption in SMSs. Furthermore, this paper provides a brand new thinking for future research. Originality/value This paper minutely analyzes the impacts that blockchain exerts on SMSs in view of the product life cycle, and proposes using the complexity science thinking to deal with BSMSs qualitatively and quantitatively, including tackling the current major problems BSMSs face. This research can serve as a foundation for future theoretical studies and enterprise practice.

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Integrated Functional Safety and Security Diagnosis Mechanism of CPS Based on Blockchain

Cited by 16 publications

References 32 publications

Network Blockchain Security Sharing Model Based on Fuzzy Logic

Network Blockchain Security Sharing Model Based on Fuzzy Logic

Security risks in cyber physical systems—A systematic mapping study

Blockchain for smart manufacturing systems: a survey

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