Combining NFC Authenticated Tags with NFTs to Spot Counterfeit Luxury Products Using Solana Blockchain

Matteo Zocca, Hamid Jahankhani*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


The phenomenon of counterfeiting continues to grow steadily. According to Global Brand Counterfeiting (GBC in The Global Brand Counterfeiting Report, 2018), the volume of international trade in counterfeit goods reached 1.097 trillion euros in 2017 and will exceed 1.65 trillion euros in 2020. To minimize this growing trend, the following project undertook an in-depth analysis of the problem, delving into and implementing a system that can effectively address the phenomenon of counterfeit luxury goods. The approach involves the combined use of NFC and NFT tags to protect these products. Its use has proven effective in several respects. Although it has already been tested by several start-ups and consortia, the approach has never been thoroughly studied and its behaviour has never been analysed. This project implemented its mechanism simulation environment with off the shelf technologies, thus analyzing behaviours and criticalities. Based on the experiments conducted, guidelines were drafted to support future implementations based on this mechanism. Possible future studies will focus on the implementation of the mechanism in the context of high-value products, monitoring the system’s response to counterfeiting and the degree to which the entire ecosystem is able to provide security for the company.

Original languageEnglish
Title of host publicationWireless Networks
Subtitle of host publicationCyber Security Threats and Countermeasures
EditorsHamid Jahankhani, Ayman El Hajjar
Place of PublicationCham, Switzerland
Number of pages54
ISBN (Electronic)9783031336317
ISBN (Print)9783031336300, 9783031336331
Publication statusPublished - 24 Aug 2023
Externally publishedYes

Publication series

NameAdvanced Sciences and Technologies for Security Applications
VolumePart F1307
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

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