A Framework for Blockchain Technology Including Features

Tyagi, Nitin; Gautam, Siddharth; Goel, Abhishek; Mann, Prince

doi:10.1007/978-981-15-9927-9_62

Cited by 15 publications

(2 citation statements)

References 28 publications

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“…The in uential authors are Salah Khalid [21][22], Chen-Chin ling [23], Tanwar [24][25][26][27][28], Sudeep [29] and Srivatsa [30], Gautam [31].…”

Section: Co-author Analysismentioning

confidence: 99%

“…The survey encompasses various investigations and methodologies conducted globally by different authors, exploring different aspects of Smart Contract with Arti cial Intelligence by means of natural language processing (NLP) and Machine Learning (ML) [30]- [38]. Upon reviewing multiple literature surveys, it is evident that the majority focus on utilizing Block Chain for security and privacy, while others leverage Arti cial Intelligence techniques for similar purposes.…”

Section: Scope Of the Surveymentioning

confidence: 99%

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A Comprehensive Survey Integrating Scientometric Analysis and ML approaches for Data Protection

Yaseen,

Hassan

2024

Preprint

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The extensive implementation of smart contracts in blockchain ecosystems has brought significant benefits, particularly in enhancing transparency and transactional effectiveness. However, this remarkable advancement has also raised substantial concerns regarding the protection of sensitive data during smart contract execution. This research analysis delves into an in-depth examination of the constantly evolving domain of data privacy in the realm of smart contracts, going beyond the inherent transparency that defines blockchain technology. In this pursuit, we embark on an exploration of existing literature through a bibliometric analysis, shedding light on the trends and developments in this crucial field of study. Our objective is to discern the key challenges and issues confronting data privacy. Through a systematic bibliometric analysis, we aim to identify and evaluate the efficacy of current privacy-preserving mechanisms while pinpointing potential avenues for future research endeavors to address privacy concerns in smart contracts comprehensively. This literature review, informed by bibliometric insights, not only advances our collective understanding of data privacy within smart contracts but also offers invaluable guidance to developers, researchers, and policymakers seeking to shape and implement privacy-enhancing measures in forthcoming blockchain-based systems.

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