An NFC Anti-Counterfeiting Framework for ID Verification and Image Protection

Lee, Wei-Hsun; Chou, Chien Ming; Wang, Szu‐Wen

doi:10.1007/s11036-016-0721-9

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…NFC, such as past smart cards for e-tickets, allows mobile payments and supports financial systems. NFC-enabled devices can act as electronic IDs and key cards (Lee et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Verification Techniques in FinTech Compared from User Perspectives

Wang

2022

Social Science Computer Review

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FinTech, which primarily uses mobile devices and applications as promotional platforms, is on the rise, and verification techniques play an important role. This study aims to compare verification techniques for the development of FinTech. Based on the research goal, this study newly adds the three variables “perceived privacy,” “perceived trust,” and “perceived satisfaction” to extend the traditional technology acceptance model (TAM) as the analysis architecture. Second, this study applies the fuzzy analytic hierarchy process to integrate the nonfuzzy best performance as the novelty hybrid multiple-criteria decision-making (MCDM) approach. According to the above research framework, this study investigates over 400 users for a more complete comparison of verification techniques in FinTech. The outcomes first indicate that perceived usefulness is the most emphasized key objective in comparing verification techniques. It also indicates that personal information leaking should be considered and then strengthens user trust. Additionally, the biometrics verification technique would be more advantageous for evaluating and selecting target users in FinTech industries because of their high criteria scores. The objectives and criteria of this study could suggest strategies and measures to improve verification techniques in FinTech to meet user expectations.

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“…NFC, such as past smart cards for e-tickets, allows mobile payments and supports financial systems. NFC-enabled devices can act as electronic IDs and key cards (Lee et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Verification Techniques in FinTech Compared from User Perspectives

Wang

2022

Social Science Computer Review

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“…RFID-based solutions in [5], [6], [7], [8] and NFC-based solutions in [9], [10], [11], [12] both require dedicated applications or authentication servers to integrate with these tags involved so as to perform writing, reading and validating features on the data stored in these tags with the product identifier (PID) and its metadata also stored in database system of applications for the purpose of validation at later stage to respond to any potential counterfeiting attack at different supply chain nodes. [13], [14] utilized simple barcode technology such as QR code to retrieve the product identifiers by scanning the products and querying corresponding records throughout the dedicated backend database systems to retrieve metadata of specific PIDs so as to prove the authenticity with the PIDs validated and detailed product data retrieved.…”

Section: Related Work Of Anti-counterfeiting and Traceability Systemsmentioning

confidence: 99%

Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability

Yiu

2021

Preprint

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Innovative solutions addressing product anti-counterfeiting and record provenance have been deployed across today's internationally spanning supply chain networks. These product anti-counterfeiting solutions are developed and implemented with centralized system architecture relying on centralized authorities or any form of intermediaries. Vulnerabilities of centralized product anticounterfeiting solutions could possibly lead to system failure or susceptibility of malicious modifications performed on product records or various potential attacks to the system components by dishonest participant nodes traversing along the supply chain. Blockchain technology has progressed from merely with an use case of immutable ledger for cryptocurrency transactions to a programmable interactive environment of developing decentralized and reliable applications addressing different use cases globally. In this research, so as to facilitate trustworthy data provenance retrieval, verification and management, as well as strengthening capability of product anti-counterfeiting in supply chain industry, key areas of decentralization and feasible mechanisms of developing decentralized and distributed versions of these product anti-counterfeiting and traceability ecosystems utilizing blockchain technology, are identified via a series of security and threat analyses performed mainly against the NFC-Enabled Anti-Counterfeiting System (NAS) which is one of these solutions currently implemented in supply chain industry with centralized architecture. A set of fundamental system requirements are set out for developing a blockchain-enabled autonomous and decentralized ecosystem for supply chain anti-counterfeiting and traceability, as a secure and immutable scientific data provenance tracking and management platform in which provenance records, providing compelling properties on data integrity of luxurious goods, are recorded and verified automatically, for supply chain industry.

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“…They have special materials or unique formulations that not only cost a lot but also lose security once their information is leaked. Electronic identification anti-counterfeiting [ 13 ] commonly includes radio frequency, magnetic recording, integrated circuit cards, etc. These techniques work in conjunction with data management systems but they are not as generalizable as relying on specialized devices and are limited in application scenarios and scope.…”

Section: Introductionmentioning

confidence: 99%

A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method

Wang¹,

Zheng²,

You³

et al. 2023

Sensors

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This paper designs a texture-hidden QR code to prevent the illegal copying of a QR code due to its lack of anti-counterfeiting ability. Combining random texture patterns and a refined QR code, the code is not only capable of regular coding but also has a strong anti-copying capability. Based on the proposed code, a quality assessment algorithm (MAF) and a dual feature detection algorithm (DFDA) are also proposed. The MAF is compared with several current algorithms without reference and achieves a 95% and 96% accuracy for blur type and blur degree, respectively. The DFDA is compared with various texture and corner methods and achieves an accuracy, precision, and recall of up to 100%, and also performs well on attacked datasets with reduction and cut. Experiments on self-built datasets show that the code designed in this paper has excellent feasibility and anti-counterfeiting performance.

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An NFC Anti-Counterfeiting Framework for ID Verification and Image Protection

Cited by 10 publications

References 8 publications

Verification Techniques in FinTech Compared from User Perspectives

Verification Techniques in FinTech Compared from User Perspectives

Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability

A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method

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