Instant Function Calls Using Synchronized Cross-Blockchain Smart Contracts

Westerkamp, Martin; Küpper, Axel

doi:10.1109/tnsm.2023.3236437

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…The smart contract uses blockchain technology to enable transactions between users without the intervention of a centralized authority [13]. It is also possible to perform immediately upon execution of clear contractual terms and conditions [14]. The smart contract can protect against unwanted events like withholding or delaying performance after a contract is completed.…”

Section: Blockchain and Smart Contractmentioning

confidence: 99%

Enhancing the Activation of Digital Content Using Smart Contract in a Web 3.0 Environment: A Case Study of A3I®

Kim,

Hong,

Majero

2023

APJCRI

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Existing big-tech platforms have controlled the sovereignty of digital services and user data, limiting the opportunities for users to experience platforms. These platforms' control policies were no exception in the content area of the platform. Users can only engage with content by viewing, commenting, emoticons, and sharing. Users were limited to engaging with content in the functions and areas designated by the platform, which meant they could not interact with opinion leaders or content creators equally. Consequently, concepts of Web 3 and MyData have emerged with the idea that the sovereignty of platform users should be restored to the user, not the platform. However, many papers on blockchain and smart contracts that can implement these concepts are mostly engineering or focused on laws such as content copyright. This study examines two purposes as a case study of qualitative research methods for a content platform named A3I®. First, this study identified the feasibility of implementing a blockchain-based content platform with universal value. It refers to the universal value that anyone can access information (data) securely and transparently in a Web 3.0 environment, including the concept of MyData, which empowers users to control their data. Second, this study highlighted that the Article Value Evaluation Mechanism (AVEM), including reward and revenue sharing systems, can enhance digital content activation through automatic payment programs of smart contracts in the platform. Furthermore, the study found that A3I platforms based on blockchain and smart contracts have stronger performance on technical and user-centric factors than other platforms without these technologies. In addition, the A3I platform with innovative technologies and AVEM shows better digital content activation by increasing "feedback frequency" than other platforms that increase "content frequency." Therefore, this study has academic and social significance by reflecting the universal values of Web 3.0 in platform design. It also has industrial significance by presenting a feasible blockchain platform business model.

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Section: Blockchain and Smart Contractmentioning

confidence: 99%

Enhancing the Activation of Digital Content Using Smart Contract in a Web 3.0 Environment: A Case Study of A3I®

Kim,

Hong,

Majero

2023

APJCRI

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“…Smart contracts, which are programmatically defined contracts that automatically enforce the terms of the contract and ensure the reliability of the transaction, are a core component of blockchain technology [ 10 ]. Smart contracts are executed on the blockchain without the intervention of a third party, enabling automation and reducing the risk of potential fraud [ 11 – 13 ].…”

Section: Introductionmentioning

confidence: 99%

Research on blockchain smart contract technology based on resistance to quantum computing attacks

Zheng

2024

PLoS ONE

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In recent years, blockchain technology has developed rapidly and has been widely used in medical, financial, energy and other fields. However, in the process of practical application, each blockchain is a small independent ecosystem, with all transactions and operations limited to the chain, resulting in a large number of mutually heterogeneous to independent blockchains. It presents challenges for cross-chain interactions, cross-organization data sharing, and cross-blockchain expansion, and hinders the wider application of blockchain technology. In addition, the traditional digital signature method based on elliptic curve cipher faces the threat of being cracked by quantum computing attacks. To solve the aforementioned problems, this paper proposed a blockchain smart contract technique based on quantum computing attack resistance(BSCTQCAT). The technique first introduces the digital signature of the lattice cipher into the blockchain to resist the quantum search algorithm attack. Then, based on the smart contract authentication scheme, the nodes on multiple heterogeneous chains are organized into an identity agent layer P2P network, through which transactions on the chain will establish a credible identity management and message authentication mechanism between different chains, solving the current problem that each chain is difficult to communicate with each other. In this paper, the performance of the algorithm is evaluated by simulating the Bitcoin transaction scenario and analyzing the experimental data.

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“…The dense networks of interconnected devices characteristic of IoMT environments demand an efficient and effective routing mechanism to ensure Quality of Service (QoS) while managing the voluminous data generated. However, the current landscape of IoMT network solutions often falls short, primarily due to their inability to accurately and comprehensively incorporate both temporal and spatial information of nodes for optimal route identification operations [4,5,6]. This can also be done via use of Trust and Reputation System (TRS)operations.…”

Section: Introductionmentioning

confidence: 99%

Design of an Incremental Graph-based Routing Model for enhancing QoS of dense IoMT Networks using Truncated Side chains

Fuke,

Ranawat

2024

Preprint

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The exponential growth of Internet of Medical Things (IoMT) has necessitated the need for an efficient and secure routing mechanism capable of handling dense network traffic while also ensuring quality of service (QoS) and privacy. Existing solutions in the domain are often limited by their inability to effectively fuse temporal and spatial information for route optimization and lack comprehensive methods to secure route data samples. In this paper, I present the Incremental Graph-based Routing Model for QoS enhancement in dense IoMT Networks using Truncated Sidechains (IGRMQITS). Our model leverages a graph-based Q Learning (GQL) algorithm for route optimization, which is further enhanced using a novel Teacher Learner, based Firefly Optimizer (TLFFO). This ensures the identification of optimal routes by efficiently fusing temporal and spatial information of the nodes. To secure the data on these routes, we introduce an innovative truncated sidechaining model, which employs Grey Wolf Whale Optimizer (GWWO) for selecting optimal sidechain lengths. The chains are then truncated using a Fuzzy Analytic Hierarchy Process (AHP) that prioritizes different privacy levels, thereby ensuring a robust security mechanism for real-time networks. The proposed model has proven to significantly enhance the network performance, with a 10.5% reduction in communication delay, 8.5% increase in energy efficiency, 3.9% improvement in throughput, 1.5% increase in packet delivery ratio, and an 8.3% reduction in jitter. Furthermore, our model also excels in reducing the mining delay by 12.5%, cutting down energy consumption during mining by 5.9%, and decreasing the storage requirements for mining by 4.9%. Thus, IGRMQITS represents a significant step forward in the field of IoMT, addressing the critical challenges of route optimization, data security, and privacy in dense network environments. This work not only enhances the QoS in IoMT networks but also sets a new benchmark for future research in the domain, pushing the boundaries of what is possible in the field of IoMT network optimization and security levels.

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Instant Function Calls Using Synchronized Cross-Blockchain Smart Contracts

Cited by 7 publications

References 40 publications

Enhancing the Activation of Digital Content Using Smart Contract in a Web 3.0 Environment: A Case Study of A3I®

Enhancing the Activation of Digital Content Using Smart Contract in a Web 3.0 Environment: A Case Study of A3I®

Research on blockchain smart contract technology based on resistance to quantum computing attacks

Design of an Incremental Graph-based Routing Model for enhancing QoS of dense IoMT Networks using Truncated Side chains

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