Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

Shala, Besfort; Trick, Ulrich; Lehmann, Armin; Ghita, Bogdan; Shiaeles, Stavros

doi:10.1109/access.2020.3005541

Cited by 56 publications

(29 citation statements)

References 51 publications

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“…Blockchain can be seen as the key technology to provide the fundamental security enhancements to secure the smart home ecosystem and diminish the security concerns regarding the authorisation and authentication, integrity and confidentiality of IoT data, as well as, the single point of failure. However, an essential challenge for the integration of the blockchain technology to the smart home ecosystem is the reliability and the trustworthiness of the IoT data [99,169]. Due to the immutability of blockchains, if the IoT data that are being stored to the blockchain are already corrupted, then they will remain corrupted.…”

Section: Security Requirementsmentioning

confidence: 99%

“…Current centralised security defences, apart from the fact that they often rely on trusted third parties, they are inadequate to deal with sophisticated attacks that exploit the existence of various vulnerabilities in IoT devices and platforms. Therefore, applications of blockchain towards enhancing the security and privacy of the IoT have received great attention due to its capacity in providing a fundamentally di erent approach as a distributed, transparent and accountable sys-tem [54,100,169]. Examples of application areas include identity security [24], intrusion detection systems and mitigation of distributed denial-of-service attacks [15,99], data security and digital forensic evidence preservation [2,38], as well as privacy enhancement and management [70,102].…”

Section: Introductionmentioning

confidence: 99%

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On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

et al. 2021

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Blockchain and distributed ledger technologies have received significant interest in various areas beyond the financial sector, with profound applications in the Internet of Things (IoT), providing the means for creating truly trustless and secure solutions for IoT applications. Taking into account the weak security defences that the majority of IoT devices have, it is critical that a blockchain-based solution targeting the IoT is not only capable of addressing the many challenges IoT is facing, but also does not introduce other defects, e.g. in terms of performance, making its adoption hard to achieve. This paper aims at addressing the above needs by providing a comprehensive and coherent review of the available blockchain solutions to determine their ability to meet the requirements and tackle the challenges of the IoT, using the smart home as the reference domain. Key architectural aspects of blockchain solutions, like the platforms' software and network setups, the consensus protocols used, as well as smart contracts, are examined in terms of their ability to withstand various types of common IoT and blockchain attacks, deliver enhanced privacy features, and assure adequate performance levels while processing large amounts of transactions being generated in an IoT environment. The analysis carried out identified that the defences currently provided by blockchain platforms are not su cient to thwart all the prominent attacks against blockchains, with blockchain 1.0 and 2.0 platforms being susceptible to the majority of them. On the other side, privacy related mechanisms are being supported, to varying degrees, by all platforms investigated; however, each of the them tackles specific only privacy aspects, thus rendering the overall privacy evaluation a challenging task which needs to be considered in an ad-hoc basis. If the underlying consensus protocols' performance and fault tolerance is also considered, then only a small number of platforms meet the requirements of our reference IoT domain. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 786698. The work reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains.

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Section: Security Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

et al. 2021

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“…Trust relationships must be established between disparate entities in the IoT ecosystem [137]. An analysis on the combination of blockchain and trust evaluation technologies has been conducted accordingly [138,139]. Regarding Industry 4.0, the interest in industrial IoT (IIoT) is increasing.…”

Section: Keyword Clustering and Evolution Of Research On Iotmentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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“…Shala et al [22] introduced an incentive mechanism to motivate low trusted peers in the IoT network to increase their trust score. The incentivization system uses control loops that contain a target trust score.…”

Section: Related Workmentioning

confidence: 99%

Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

Rouhani

Deters

2021

IEEE Access

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Trust is the main barrier preventing widespread data sharing. The lack of transparent infrastructure for implementing data trust prevents many data owners from sharing their data and concerns data users regarding the quality of the data. Data trust is a paradigm that facilitates data sharing by forcing data users to be transparent about the process of sharing and reusing data. Blockchain proposes a distributed and transparent administration by employing the involved parties to maintain consensus on an immutable ledger. This paper proposes an end-to-end framework for data trust to offer trustworthy data sharing using blockchain. The framework promotes data quality by assessing input data sets, effectively manages access control, and presents data provenance and activity monitoring. The number of transaction validators is defined adaptively with the trust value. The proposed data trust framework addresses both data owners' and data users' concerns by ensuring the trustworthiness and quality of the data at origin and ethical and secure usage of the data at the end. A comprehensive experimental study indicates the presented system effectively handles a large number of transactions with low latency.

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Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision

Cited by 56 publications

References 51 publications

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

Current Research Trends in IoT Security: A Systematic Mapping Study

Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation

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