AI-enhanced blockchain technology: A review of advancements and opportunities

Ressi, Dalila; Romanello, Riccardo; Piazza, Carla; Rossi, Sabina

doi:10.1016/j.jnca.2024.103858

Cited by 29 publications

(3 citation statements)

References 119 publications

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“…The direct trust DT ( i , j ) is the trust evaluation of node j by the requesting evaluation node i ∈ E based on the historical interaction experience with the evaluated node j ∈ E [ 19 ]. If requesting node i and node j have directly occurred in a period or N transaction transmissions, the satisfaction of the n th transaction transmission is S ( i , j ) ∈ [0, 1], which takes the values shown in the table.…”

Section: Methodsmentioning

confidence: 99%

“…Fengting Luo et al [ 18 ] proposed an IoT many-to-many cross-domain authentication scheme based on a hybrid blockchain architecture, which enables multiple devices to simultaneously perform mutual authentication with multiple data service providers from other systems. Dalila Ressi et al [ 19 ] summarized the potential of AI to enhance blockchain and improve the efficiency, security, and reliability of blockchain-based applications. Peter Robinson [ 20 ] analyzes how each protocol achieves cross-chain consensus, what trust assumptions are made, their ability to operate successfully in the context of permissionless and permissioned blockchains, and whether the protocols provide atomic updates across blockchains.…”

Section: Related Workmentioning

confidence: 99%

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A study of blockchain-based liquidity cross-chain model

Han,

Wang,

Wang

et al. 2024

PLoS ONE

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Blockchain cross-chaining is about interconnectivity and interoperability between chains and involves both physical to virtual digital aspects and cross-chaining between digital networks. During the process, the liquidity transfer of information or assets can increase the use of items with other chains, so it is worth noting that the enhancement of cross-chain liquidity is of great practical importance to cross-chain technology. In this model, Layerzero is used as the primary secure cross-chain facility to build a full-chain identity by unifying NFT-distributed autonomous cross-chain identity IDs; applying super-contract pairs to enhance cross-chain liquidity; and initiating a dynamic transaction node creditworthiness model to increase the security of the cross-chain model and its risk management. Finally, by verifying three important property metrics timeliness is improved by at least 18%, robustness is increased by at least 50.9%, and radius of convergence is reduced by at least 25%. It is verified that the liquidity cross-chain model can eliminate the authentication transition between hierarchies while saving the cross-chain time cost, as a way to truly realize the liquid interoperability between multiple chains of blockchain.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A study of blockchain-based liquidity cross-chain model

Han,

Wang,

Wang

et al. 2024

PLoS ONE

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“…Therefore, smart contracts have been gaining significant traction lately because they can automate and secure various transactions in many areas [23]. Furthermore, the blockchain and smart contracts can leverage another new technology, AI, to optimize blockchain consensus mechanisms, make smart contract execution work more effectively, and further enhance data privacy [24].…”

Section: Blockchain and Smart Contractsmentioning

confidence: 99%

Validation of Value-Driven Token Economy: Focus on Blockchain Content Platform

Kim,

Hong,

Majer

2024

Future Internet

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This study explores the architectural framework of a value-driven token economy on a blockchain content platform and critically evaluates the relationship between blockchain’s decentralization and sustainable economic practices. The existing literature often glorifies the rapid market expansion of cryptocurrencies but overlooks how underlying blockchain technology can fundamentally enhance content platforms through a more structured user engagement and equitable reward system. This study proposes a new token economy architecture by adopting the triple-bottom -line (TBL) framework and validates its practicality and effectiveness through an analytic-hierarchy-process (AHP) survey of industry experts. The study shows that the most influential factor in a successful token economy is not profit maximization but fostering a user-centric community where engagement and empowerment are prioritized. This shift can be expected to combine blockchain technology with meaningful economic innovation by challenging traditional profit-driven business models and refocusing on sustainability and user value.

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Synergy of AI and Blockchain to Secure Electronic Healthcare Records

Rathore,

Kumari,

Patel

et al. 2024

Security and Privacy

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In this article, we delve into the intersection of blockchain technology and artificial intelligence (AI) to fortify the security of electronic health records (EHRs). Existing EHR systems face challenges like interoperability issues, user interface complexities, and data security concerns, hindering seamless patient care and healthcare delivery. This article thoroughly explores the hurdles associated with EHR security and investigates the potential of employing blockchain and AI solutions to mitigate these challenges. The review underscores the necessity for resilient, interoperable systems to protect sensitive health information by pinpointing opportunities for collaborative strategies. In essence, this article contributes valuable perspectives on the dynamic landscape of EHR security, guiding future research and development at the crossroads of blockchain; we presented a case study on EHR security, customized care, predictive analytics, and more efficient healthcare delivery. Using case studies as illustrative examples, the article scrutinizes practical applications, shedding light on successful implementations and areas requiring refinement. Several outcomes for the predictive analytics of patients' surgeries are shown in this case study. Next, we compare blockchain‐based EHR systems with existing, non‐blockchain‐based EHR systems. Finally, we present the concluding remarks with future directions for integrating blockchain, AI, and EHR systems.

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AI-enhanced blockchain technology: A review of advancements and opportunities

Cited by 29 publications

References 119 publications

A study of blockchain-based liquidity cross-chain model

A study of blockchain-based liquidity cross-chain model

Validation of Value-Driven Token Economy: Focus on Blockchain Content Platform

Synergy of AI and Blockchain to Secure Electronic Healthcare Records

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