A survey of blockchain technology on security, privacy, and trust in crowdsourcing services

Ma, Ying; Sun, Yu; Lei, Yunjie; Qin, Nan; Lu, Junwen

doi:10.1007/s11280-019-00735-4

Cited by 77 publications

(37 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Well-structured: BC is based on a clear well-defined structure that takes into consideration all security aspects such as authentication, authorization, and data protection [57]. Enhance security: BC encrypt the data exchanged within the architecture, which in return enhances the security of the system [58]. Enhance IoT security: BC enrich the security in the IoT devices by overcoming the limitation of the devices when applying security policies [59].…”

Section: Discussionmentioning

confidence: 99%

“…Preservation Enhance Data integrity: BC protects efficiently the data from unintended and incomplete changes due to the solid trust verification process for any transaction types [60]. Protect users and device identity: BC protects the identity of the IoT devices by supporting anonymous communication methods [60] Enhance independency: BC reduce the need to have a third-party to verify entities or processes which minimizes the sharing of data with external bodies [58]. Enhance confidentiality: BC architecture enable the user to control his data in term of locations to save the entities to participate in the trust verification process [61].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

Alzoubi

Al‐Ahmad

Jaradat

2021

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Due to the expansion growth of the IoT devices, Fog computing was proposed to enhance the low latency IoT applications and meet the distribution nature of these devices. However, Fog computing was criticized for several privacy and security vulnerabilities. This paper aims to identify and discuss the security challenges for Fog computing. It also discusses blockchain technology as a complementary mechanism associated with Fog computing to mitigate the impact of these issues. The findings of this paper reveal that blockchain can meet the privacy and security requirements of fog computing; however, there are several limitations of blockchain that should be further investigated in the context of Fog computing.</span>

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

Alzoubi

Al‐Ahmad

Jaradat

2021

IJECE

View full text Add to dashboard Cite

show abstract

“…These solutions aim to effectively overcome the negative effects of a dishonest centralized intermediary with accountability, privacy, or copyright in concern. In addition, ensuring trust has been indicated as a possible benefit for making use of blockchain technologies in crowdsourcing [39]. The works mentioned above show the potential for blockchain-based e-commerce transactions, but do not address the three challenges.…”

Section: Related Workmentioning

confidence: 99%

A Reference Architecture for Blockchain-Based Crowdsourcing Platforms

Gong

Engelenburg

Janssen

2021

JTAER

View full text Add to dashboard Cite

Companies increasingly tender knowledge-intensive tasks using crowdsourcing platforms to gain access to scarce knowledge and skills otherwise out of reach, and in this way, gaining competitive advantage. Despite its potential, existing crowdsourcing platforms encounter several challenges, including (1) fragmentation of expertise, as there are many platforms, (2) distrust between task providers and crowdsourcing participants, as identity and past performance are often not known, and (3) inability to learn from experience due to a lack of openness. A reference architecture for blockchain-based knowledge-intensive crowdsourcing platforms to mediate transactions between demand and supply of knowledge is designed in this paper to overcome these challenges. A design science research method is followed to develop the architecture. The reference architecture shows how blockchain and smart contract components can be integrated to support and coordinate knowledge-intensive crowdsourcing activities. By removing traditional e-commerce intermediaries, blockchain reduces search friction, knowledge transfer costs, and cheating by task providers or crowdsourcing participants.

show abstract

“…In [15,16], the authors pointed out that traditional crowdsourcing platforms based on a centralized architecture are vulnerable to be attacked. Also, the unfairness of the third party was discussed in [15,17,18]. Moreover, in [15], blockchain-based mobile crowdsourcing was designed, satisfying a decentralized and distributed management in mobile crowdsourcing to collect data more efficiently.…”

Section: Crowdsourcingmentioning

confidence: 99%

TFCrowd: A Blockchain-based Crowdsourcing Framework with Enhanced Trustworthiness and Fairness

Guo

2021

Preprint

View full text Add to dashboard Cite

Blockchain technology has attracted considerable attention due to the boom of cryptocurrencies and decentralized applications. Among them, the emerging blockchain-based crowdsourcing is a typical paradigm, which gets rid of centralized cloud-servers and leverages smart contracts to realize task recommendation and reward distribution. However, there are still two critical issues yet to be solved urgently. First, malicious evaluation from crowdsourcing requesters will result in honest workers not getting the rewards they deserve even providing valuable solutions. Second, unfair evaluation and reward distribution can lead to workers’ reluctance to work actively. Therefore, the above problems will seriously hinder the development of blockchain-based crowdsourcing platforms. In this paper, we propose a new blockchain-based crowdsourcing framework with enhanced trustworthiness and fairness, named TFCrowd. The core idea of TFCrowd is utilizing a smart contract of blockchain as a trusted authority to fairly evaluate contributions and allocate rewards. To this end, we devise a reputation-based evaluation mechanism to punish the requester who behaves as “false-reporting” and a Shapley value-based method to distribute rewards fairly. By using our proposed schemes, TFCrowd can prevent malicious requesters from making unfair comments and reward honest workers according to their contributions. Extensive simulations and the experiment results demonstrate that TFCrowd can protect the interests of workers and distribute rewards fairly.

show abstract

A survey of blockchain technology on security, privacy, and trust in crowdsourcing services

Cited by 77 publications

References 77 publications

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

A Reference Architecture for Blockchain-Based Crowdsourcing Platforms

TFCrowd: A Blockchain-based Crowdsourcing Framework with Enhanced Trustworthiness and Fairness

Contact Info

Product

Resources

About