An Incentive Mechanism for Building a Secure Blockchain-Based Internet of Things

Ding, Xingjian; Guo, Jianxiong; Li, Deying; Wu, Weili

doi:10.1109/tnse.2020.3040446

Cited by 61 publications

(19 citation statements)

References 33 publications

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“…Xiong et al [21], [22] formulate a Stackelberg game to jointly maximize the profit of mobile devices and the edge server in mobile blockchain networks. Ding et al [23] investigate the interaction between the blockchain platform and IoT devices, where their objective is to find the Stackelberg equilibrium such that both the blockchain platform and IoT devices could maximize their utility and profits respectively. Guo et al [24] study a Stackelberg game and double auction based task offloading scheme for mobile blockchain.…”

Section: Related Workmentioning

confidence: 99%

Pricing and Budget Allocation for IoT Blockchain With Edge Computing

Ding

Guo

et al. 2023

IEEE Trans. Cloud Comput.

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Attracted by the inherent security and privacy protection of the blockchain, incorporating blockchain into Internet of Things (IoT) has been widely studied in these years. However, the mining process requires high computational power, which prevents IoT devices from directly participating in blockchain construction. For this reason, edge computing service is introduced to help build the IoT blockchain, where IoT devices could purchase computational resources from the edge servers. In this paper, we consider the case that IoT devices also have other tasks that need the help of edge servers, such as data analysis and data storage. The profits they can get from these tasks is closely related to the amounts of resources they purchased from the edge servers. In this scenario, IoT devices will allocate their limited budgets to purchase different resources from different edge servers, such that their profits can be maximized. Moreover, edge servers will set "best" prices such that they can get the biggest benefits. Accordingly, there raise a pricing and budget allocation problem between edge servers and IoT devices. We model the interaction between edge servers and IoT devices as a multi-leader multi-follower Stackelberg game, whose objective is to reach the Stackelberg Equilibrium (SE). We prove the existence and uniqueness of the SE point, and design efficient algorithms to reach the SE point. In the end, we verify our model and algorithms by performing extensive simulations, and the results show the correctness and effectiveness of our designs.

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Section: Related Workmentioning

confidence: 99%

Pricing and Budget Allocation for IoT Blockchain With Edge Computing

Ding

Guo

et al. 2023

IEEE Trans. Cloud Comput.

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“…With some anonymity techniques and data encryption techniques, users in a blockchain system can share data securely without compromising privacy. Blockchain has demonstrated applicable scenarios using IoT devices with low-computational power after mitigating computation complexity of blockchain system ( [20], [21], [22], [23], [24]).…”

Section: B Blockchainmentioning

confidence: 99%

Blockchain Driven Privacy Preserving Contact Tracing Framework in Pandemics

Li¹,

Wu²,

Chen³

2022

Preprint

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Contact tracing has been proven an effective approach to mitigate the virus spread in pandemics like COVID-19. As an emerging powerful decentralized data sharing and storage technique, blockchain has been explored to ensure data privacy and security in contact tracing processes. Existing work mostly treats blockchain as a separate storage system requiring thirdparty servers to perform data collection and computation, and avoids revealing detailed interior design of blockchain storage. However, blockchain system is capable to work as a fully automatic distributed contact tracing system without any thirdparty server by tackling the following challenges: 1) how to ensure the contact tracing correctness without compromising privacy; 2) how to design efficient and effective consensus mechanism to ensure the system security and robustness; 3) how to design an incentive mechanism to motivate people to behave honestly. In this article, we present the Blockchain Based Contact Tracing Framework for the contact tracing problem. In the framework, RSA encryption based transaction verification algorithm (RSA-TVA) is proposed to ensure contact tracing correctness, which can achieve more than 97% contact case recording accuracy even when each person has 60% chance of failing to verify the contact information. Reputation Corrected Delegated Proof of Stack (RC-DPoS) consensus mechanism is applied to jointly work with the proposed incentive mechanism, which can ensure timeliness of reporting contact cases and meanwhile balance the reward gained by different people. A novel contact tracing simulation environment is created in the simulation part, which considers three different contact scenarios. The simulation results demonstrate the effectiveness, robustness and attack resistance of RSA-TVA and RC-DPoS in the proposed Blockchain Based Contact Tracing Framework.

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“…[104] Overcomes the security issues of provenance data by leveraging blockchain. [105] Incentive-based mechanism to purchase more power for computation from server devices. [106] The security protocol is ensured by using verified IoT devices in the communication with IoT gateways.…”

Section: Analysis Of Responsiveness Considering Different Types Of At...mentioning

confidence: 99%

“…The authors in [108] review the security and privacy related issues in IoT systems, and present some security solutions using blockchain technology. For blockchain platforms, the incentive mechanism is investigated in [105] to purchase more power for computation from server devices in order to take part in the mining. For the access control, BorderChain [106] is based on blockchain in IoT endpoints, where the security protocol is ensured by using verified IoT devices in the communication with IoT gateways.…”

Section: Analysis Of Responsiveness Considering Different Types Of At...mentioning

confidence: 99%

How Can Applications of Blockchain and Artificial Intelligence Improve Performance of Internet of Things? -- A Survey

Bothra¹,

Karmakar

Bhattacharya³

et al. 2021

Preprint

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In the era of the Internet of Things (IoT), massive computing devices surrounding us operate and interact with each other to provide several significant services in industries, medical as well as in daily life activities at home, office, education sectors, and so on. The participating devices in an IoT network usually have resource constraints and the devices are prone to different cyber attacks, leading to the loopholes in the security and authentication. As a revolutionized and innovated technology, blockchain, that is applied in cryptocurrency, market prediction, etc., uses a distributed ledger that records transactions securely and efficiently. To utilize the great potential of blockchain, both industries and academia have paid a significant attention to integrate it with the IoT, as reported by several existing literature. On the other hand, Artificial Intelligence (AI) is able to embed intelligence in a system, and thus the AI can be integrated with IoT devices in order to automatically cope with different environments according to the demands. Furthermore, both blockchain and AI can be integrated with the IoT to design an automated secure and robust IoT model, as mentioned by numerous existing works. In this survey, we present a discussion on the IoT, blockchain, and AI, along with the descriptions of several research works that apply blockchain and AI in the IoT. In this direction, we point out strengths and limitations of the related existing researches. We also discuss different open challenges to exploit the full capacities of blockchain and AI in designing an IoT-based model. Therefore, the highlighted challenging issues can open the door for the development of future IoT models which will be intelligent and secure based on the integration of blockchain and AI with the IoT.

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An Incentive Mechanism for Building a Secure Blockchain-Based Internet of Things

Cited by 61 publications

References 33 publications

Pricing and Budget Allocation for IoT Blockchain With Edge Computing

Pricing and Budget Allocation for IoT Blockchain With Edge Computing

Blockchain Driven Privacy Preserving Contact Tracing Framework in Pandemics

How Can Applications of Blockchain and Artificial Intelligence Improve Performance of Internet of Things? -- A Survey

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