Enhancing user and transaction privacy in bitcoin with unlinkable coin mixing scheme

Ansah, Albert Kofi Kwansah; Adu-Gyamfi, Daniel

doi:10.1504/ijcse.2020.113183

Cited by 5 publications

(4 citation statements)

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“…Finally, Cluster #6, centered on 'privacy', delves into the intellectual labyrinth of privacy issues within the bitcoin ecosystem. It accentuates the importance and implications of maintaining privacy and anonymity in cryptocurrency transactions (Ansah and Adu-Gyamfi 2020;Conti et al 2018). From exploring 'blockchain security' to 'ICO', this cluster illustrates an ongoing discourse on how privacy considerations shape the landscape of the cryptocurrency world.…”

Section: Findings From Co-word Analysismentioning

confidence: 96%

Tracing Knowledge Diffusion Trajectories in Scholarly Bitcoin Research: Co-Word and Main Path Analyses

Rejeb

Alnabulsi

et al. 2023

JRFM

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In the burgeoning field of bitcoin research, a cohesive understanding of how knowledge and insights have evolved over time is lacking. This study aims to address this gap through an exploration of 4123 academic articles pertaining to bitcoin. Utilizing co-word analysis and main path analysis (MPA), it uncovers key themes and seminal works that have substantially influenced the field’s progression. The identified clusters, including safe haven, internet of things (IoT), proof of work (PoW), market efficiency, sentiment analysis, digital currency, and privacy, shed light on the multifaceted discourse surrounding bitcoin. The MPA, incorporating both forward and backward local paths, traces an evolving narrative, starting from an in-depth exploration of bitcoin’s structure, anonymity, and contrasts against traditional financial assets. It tracks the shift in focus to broader market dynamics, volatility, speculative nature, and reactions to economic policy fluctuations. The analysis underscores the transformation of bitcoin research, from its beginnings as a decentralized, privacy-oriented currency to its role in global economics and green financing, revealing a complex narrative of an innovative financial instrument to a multifaceted entity. Implications drawn from this analysis include the need for further research on the potential integration of bitcoin within emerging technologies like AI and cybersecurity, the implications of bitcoin’s interplay with traditional financial systems, and the environmental impacts of bitcoin and blockchain utilization. Overall, the current study not only enhances our understanding of the bitcoin field but also charts its dynamic evolution and stimulates further academic inquiry.

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Section: Findings From Co-word Analysismentioning

confidence: 96%

Tracing Knowledge Diffusion Trajectories in Scholarly Bitcoin Research: Co-Word and Main Path Analyses

Rejeb

Alnabulsi

et al. 2023

JRFM

View full text Add to dashboard Cite

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“…Data and sociological mining face significant obstacles in protecting users' personal information. Using an elliptic curve and a ring signature, [36] developed a system to ensure the anonymity of miners and the confidentiality of their data while they operate in a decentralized network. Because of its constant lack of resources, edge computing requires constant upgrades.…”

Section: Elliptic Curve Cryptography In Blockchain Applicationmentioning

confidence: 99%

An Optimized Edward-elgamal Extreme Performance Signature Scheme Oedecas in Iot and Blockchain

Anusha

Saravanan

2023

Preprint

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Digital signatures (DS) are the modern-day guardians of authenticity and security in the digital realm. Even though the goal has stayed the same, the scope of its suitability and the boundaries at which it can be applied have necessitated perpetual improvements in speed, safety, and computation. Increased DS secure efficiency is in high demand, especially considering the Internet of Things (IoT), blockchain technology (BC), and cryptocurrencies. Signatures are generated using a digital signature scheme (DSS). To address the nonrepudiation problem of IoT over the Blockchain ecosystem, let us create this scheme. This article explores EdDSA (Edward Curve Digital Signature Algorithm), a popular DSA, along with a proposed hybrid signature, and how it can be implemented in the IoT based on BC. It also compares the Edward, Hyperelliptic, and Elliptic curve cryptography. Then, we compared the Edwards curve digital signature algorithm (EdDSA) to Elliptic Curve DSA(EcDSA) heuristically and Hyper Elliptic Curve DSA(HeDSA). The study results demonstrate that EdDSA is an improvement over ECDSA and HeDSA. From the study, the proposed scheme, Optimized Edward-El Gamal with Extreme performance Edward curve Accumulate signature (OEDECAS), provides more security and is evaluated to be used in the Blockchain and IoT sectors with positive results right away. It shows a 15% improvement in the transaction flow, a 15% improvement in block validation, and tamper-proof security for IoT, like the same system, implemented without OEDECAS.

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“…User privacy is the most difficult challenge to overcome in regard to data mining and sociological mining. [31] created a blockchain-based privacy protection scheme with a ring signature and an elliptic curve that adds privacy to data storage and performs anonymous mining in a secure manner. Edge computing is always resource-starved, and enhancement needs to be in place for continuous improvement.…”

Section: Application Of Elliptic Curve Cryptography In Blockchainmentioning

confidence: 99%

“…They showed that application of ECC significantly help to improve the overall performance. Healthcare Storage optimisation, Efficiency improvement, Access control, Authentication, Security enhancement, Privacy, Identity management [22], [23], [28], [36], [37] IoT Mobile Privacy, Authentication, Key generation, Privacy-preserving, Security enhancement [35], [26] Security Enhancement Enhance security, Runtime optimisation [42], [72] ECDSA Cloud Cloud storage Performance improvement, Security enhancement, Storage, Signature , Privacy, Data management [27], [33], [41], [31] Cryptocurrency Signature generation verification, Provability, Privacy, Enhanced security, Identity Key management [29], [34], [38], [40], [24] Electric vehicle Storage, Security enhancement, Privacy, protection [37], [25], [39] Table 3: Application of ECC in blockchain.…”

Section: Application Of Elliptic Curve Cryptography In Blockchainmentioning

confidence: 99%

An empirical study to demonstrate that EdDSA can be used as a performance improvement alternative to ECDSA in Blockchain and IoT

Jayabalasamy

Koppu

2022

IJCAI

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Digital signatures are a vital part of the digital world. The trust factor in the digital world is ensured with a digital signature. Over the evolution, the purpose remained constant, but the applicability and frontier continued to evolve, thus raising the demand for continuous performance, security level and computational improvement. Especially with emerging IoT, blockchain and cryptocurrency, the digital signature security level and performance improvement demand continue to rise. A digital signature scheme (DSS) is used to generate signatures. This paper investigates the widely used elliptic curve digital signature algorithm (ECDSA) and its application to blockchain and IoT. Then, we performed an empirical comparison of ECDSA with the Edwards curve digital signature algorithm (EdDSA). The study concludes by showing that EdDSA is superior to ECDSA and can be applied in blockchain and IoT domains to reap immediate benefits.Povzetek: Avtorja primerjata dve metodi generiranja varnih digitalnih podpisov in pokažeta, da je EdDSA boljša kot ECDSA.

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Enhancing user and transaction privacy in bitcoin with unlinkable coin mixing scheme

Cited by 5 publications

References 0 publications

Tracing Knowledge Diffusion Trajectories in Scholarly Bitcoin Research: Co-Word and Main Path Analyses

Tracing Knowledge Diffusion Trajectories in Scholarly Bitcoin Research: Co-Word and Main Path Analyses

An Optimized Edward-elgamal Extreme Performance Signature Scheme Oedecas in Iot and Blockchain

An empirical study to demonstrate that EdDSA can be used as a performance improvement alternative to ECDSA in Blockchain and IoT

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