A Privacy-Preserving E-Commerce System Based on the Blockchain Technology

Jiang, Yiming; Wang, Chenxu; Wang, Yawei; Gao, Lang

doi:10.1109/iwbose.2019.8666470

Cited by 33 publications

(16 citation statements)

References 12 publications

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“…The possibility of linking these activities by using novel blockchain platforms is a further issue that needs to be thoroughly explored. First, the immutable nature of blockchain may permit the development of shopping platforms which offer private and permanent selling services [23,26,7]. The latter fact is a critical issue due to the lack of efficient erasure mechanisms [2,38,8].…”

Section: Discussion and Final Remarksmentioning

confidence: 99%

The Cynicism of Modern Cybercrime: Automating the Analysis of Surface Web Marketplaces

Lykousas¹,

Koutsokostas²,

Casino³

et al. 2021

Preprint

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Cybercrime is continuously growing in numbers and becoming more sophisticated. Currently, there are various monetisation and money laundering methods, creating a huge, underground economy worldwide. A clear indicator of these activities is online marketplaces which allow cybercriminals to trade their stolen assets and services. While traditionally these marketplaces are available through the dark web, several of them have emerged in the surface web.In this work, we perform a longitudinal analysis of a surface web marketplace. The information was collected through targeted web scrapping that allowed us to identify hundreds of merchants' profiles for the most widely used surface web marketplaces. In this regard, we discuss the products traded in these markets, their prices, their availability, and the exchange currency. This analysis is performed in an automated way through a machine learning-based pipeline, allowing us to quickly and accurately extract the needed information. The outcomes of our analysis evince that illegal practices are leveraged in surface marketplaces and that there are not effective mechanisms towards their takedown at the time of writing.

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Section: Discussion and Final Remarksmentioning

confidence: 99%

The Cynicism of Modern Cybercrime: Automating the Analysis of Surface Web Marketplaces

Lykousas¹,

Koutsokostas²,

Casino³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Data distortion is a technique that provides anonymity by making it challenging to link some sensitive information, such as geographical locations and user identities, to their actual data [10], [11]. In the trading context, this approach seeks to hide the identity of a buyer/seller transaction without altering the transaction structure or affecting its execution [10], [12]. Several distortion approaches are used to achieve this goal, such as mixing and generalization techniques [13].…”

Section: A Data Distortionmentioning

confidence: 99%

Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform

et al. 2022

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This paper presents a privacy persevering framework for a decentralized stock exchange platform, ensuring anonymity and unlinkability of the investors' accounts and their respective trading activities. The proposed framework meets these privacy requirements by (i) anonymizing both the unique account identifier (NIN) and balance information through customized data generalization and distortion techniques and (ii) making trading transactions unlinkable to their original investors by ensuring that both the NIN and balance are k-anonymous; i.e., k accounts belonging to different investors have the same balance. Moreover, to ensure long-term unlinkability, the process of anonymization is repeated at regular time intervals (every trading session). In addition to anonymity and unlinkability characteristics, the proposed framework is augmented with traceability and non-repudiation features. The simulation experiments with several market sizes and types confirm the effectiveness of the proposed framework in achieving full k-anonymity. Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels k. We compare the transaction execution time of our proposed platform against a traditional non-privacypreserving blockchain-based stock exchange. The obtained results for the worst-case scenarios show an acceptable execution time overhead.

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“…For attempted transaction. Zurich's Falcon [6] private bank is the first bank which offers crypto currency by blockchain asset management service for clients, our recommended system will roof banking sector where role of banker will be replaced with token generated by [21] initial transaction to measure security for personal details, fund transfer, account statement, amount deposit and withdrawal, investment, managing cards and balance enquiry. The main contribution of this research includes:  We conducted appraisal on numerous e-commerce websites to analyze different payment methods offered on their products delivery.…”

Section: E-commerce Paymentsmentioning

confidence: 99%

Cyber Security Intelligence and Ethereum Blockchain Technology for E-commerce

2021

IJETER

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The days, the usage of E-commerce applications in the distributed network has been increasing progressively. These applications bring many advantages such as online shopping from different places. For the sake of simplicity, offloading data of applications from user devices to servers lead to many research challenges. This paper devises a novel blockchain-enabled system for E-commerce applications. The network consists of ethereum nodes that can implement symmetric security to provide valid and secure hashing of data in distributed computing. The simulation results show that the proposed blockchain-enabled system outperforms all existing systems in terms of security

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A Privacy-Preserving E-Commerce System Based on the Blockchain Technology

Cited by 33 publications

References 12 publications

The Cynicism of Modern Cybercrime: Automating the Analysis of Surface Web Marketplaces

The Cynicism of Modern Cybercrime: Automating the Analysis of Surface Web Marketplaces

Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform

Cyber Security Intelligence and Ethereum Blockchain Technology for E-commerce

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