Blockchain for Cyber-Physical Systems: Challenges and Applications

Maleh, Yassine; Lakkineni, Swathi; Tawalbeh, Lo’ai; El‐Latif, Ahmed A. Abd

doi:10.1007/978-3-030-93646-4_2

Cited by 11 publications

(4 citation statements)

References 93 publications

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“…As cyber-physical systems become more linked to the Internet, they receive information from various sources at increasingly higher levels. This rising connectivity, complexity, and accessibility make these systems more prone to attacks [5,6]. In recent years, big data and different digital assets have received huge attention in this modern society due to technological advancements [7,8].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Siyal,

Long,

Asim

et al. 2024

Mathematics

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Ensuring data confidentiality is a critical requirement for modern security systems globally. Despite the implementation of various access-control policies to enhance system security, significant threats persist due to insecure and inadequate access management. To address this, Multi-Party Authorization (MPA) systems employ multiple authorities for authorization and authentication, utilizing blockchain technology to store and access data securely, ensuring immutable and trusted audit trails. In this work, we propose a hybrid key-generation approach called the Identity and Attribute-Based Honey Encryption (IABHE) Algorithm combined with Deep Spiking Neural Network (DSNN) denoted by IABHE+DSNN for secure data sharing in a multi-party blockchain-based system. This approach incorporates various entities and multiple security functionalities to ensure data security. The data-sharing process involves several steps: initialization, authentication, initial registration, data protection, validation, and data sharing. Data protection is executed within the MapReduce framework, with data encryption performed using IABHE and key generation managed by DSNN. Experimental results demonstrate that the proposed IABHE+DSNN approach achieves a decryption time of 10.786 s, an encryption time of 15.765 s, and a key complexity of 0.887, outperforming existing methods.

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Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Siyal,

Long,

Asim

et al. 2024

Mathematics

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“…In addition to cryptocurrencies, crypto-tokens, and łdecentralized őnancež in general, the adoption of blockchain solutions for cross-organizational use cases is also growing, including supply chain management and asset tracking [39], business process orchestration [47,73], document management [23], and cyber-physical systems (CPSs) [53]. łConsortialž blockchains, bespoke cross-organizational networks with permissioned consensus participation and ledger access, are often a much better őt for these use cases than public ones.…”

Section: Introductionmentioning

confidence: 99%

Practical runtime verification of cross-organizational smart contracts

Kangogo,

Péter,

Klenik

et al. 2024

Preprint

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Smart contracts in blockchains often implement critical functionality; consequently, their development time software fault detection, removal, and avoidance have been the target of intensive research. However, the applicability of runtime dependability mechanisms to smart contracts has not been explored systematically, mainly due to the transaction pricing models of public blockchains. In this paper, we propose a novel and practical runtime verification approach for Hyperledger Fabric, the leading cross-organizational blockchain platform, as an error detection facility for fault tolerance mechanisms; building on the proposition that, in contrast to the public setting, cross-organizational blockchains have ample computational headroom for their systematic use. We introduce a smart contract entity framework architecture with reusable domain models and encapsulated runtime verification. We describe Hypernate, our open-source implementation of the approach for Java smart contracts, which uses the Java Modelling Language for requirement specification and integrates the OpenJML verification tool. We demonstrate and evaluate the approach on a Fabric implementation of the TPC-C benchmark.

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“…Sensors can gather real-time data on energy production and consumption with the combination of blockchain and IoT/CPS, and this data may be used to develop smart contracts that automatically carry out energy trading depending on specified parameters. By removing the need for middlemen and enabling peer-to-peer (P2P) energy trade, these smart contracts can lower prices and boost efficiency (Maleh et al ., 2022; Khan et al ., 2022).…”

Section: Introductionmentioning

confidence: 99%

Trading excess consumption certificates on the blockchain using the cooperative game theory

Ergün

2023

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PurposeThe purpose of this study is to propose a decentralized multi-party cross-trading scheme based on a certificate transaction mechanism for the transaction of excess consumption certificates (ECCs) of renewable energy. The aim is to address the problems associated with the existing centralized transaction mode and to promote the development of the green electricity industry.Design/methodology/approachThe proposed scheme involves calculating the quotation difference for the same type of certificate transaction based on the quotations of all users of both buyers and sellers. The transaction volume is then determined based on the order of quotation difference from large to small, and the total interests of cooperation are calculated. The nucleolus method is adopted to allocate the total interests to each member of the alliance and calculate the final transaction price. The blockchain technology is used for the transaction to achieve accurate traceability and efficient supervision, and a corresponding smart contract is designed and simulated in the Ethereum consortium chain.FindingsThe results of the simulation show the rationality and effectiveness of the proposed scheme. The decentralized multi-party cross-trading scheme can overcome the problems associated with the existing centralized transaction mode, such as low transaction efficiency, difficulty in obtaining the optimal transaction strategy and efficient supervision. The proposed scheme can promote the development of the green electricity industry by stimulating users' demand potential for green electricity.Originality/valueThe proposed scheme is original in its use of a certificate transaction mechanism to facilitate the trading of ECCs of renewable energy. The scheme adopts a decentralized multi-party cross-trading approach that overcomes the problems associated with the existing centralized transaction mode. The use of the nucleolus method for the allocation of total interests to each member of the alliance is also original. Finally, the use of blockchain technology for accurate traceability and efficient supervision of the transaction is an original contribution to the field.

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Blockchain for Cyber-Physical Systems: Challenges and Applications

Cited by 11 publications

References 93 publications

Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Blockchain-Enabled Secure Data Sharing with Honey Encryption and DSNN-Based Key Generation

Practical runtime verification of cross-organizational smart contracts

Trading excess consumption certificates on the blockchain using the cooperative game theory

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