Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  COUNTERFEIT PRODUCT DETECTION
PaperId: :  21807
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21807
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SRINIVASAN ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
RAGESH NBANNARI AMMAN INSTITUTE OF TECHNOLOGY
JAYESH V ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
SRIRAM SBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

COMPUTER SCIENCE
QR codes, NFC tags, Tamper-resistant method, User-friendly mobile application, Authentication tokens.
Counterfeiting remains an enduring issue across various sectors, from pharmaceuticals and electronics to luxury goods and automotive parts. Conventional anti-counterfeiting strategies have proven inadequate. To confront this challenge, we advocate for an integrated solution that harnesses the potential of QR codes and NFC tags to create a resilient and secure counterfeit product detection system.Develop a multifaceted counterfeit product detection system that harnesses the capabilities of QR codes and NFC tags.Establish a secure, tamper-resistant method for generating QR codes and NFC tags.Design and implement a user-friendly mobile application for consumers to ef ortlessly verify product authenticity.Evaluate the ef icacy of this integrated approach in diminishing the circulation of counterfeit products and enhancing consumer trust.Our methodology revolves around the seamless integration of QR codes and NFC tags into the product labeling process. Each QR code and NFC tag encapsulates unique product information, including digital signatures, manufacturing details, and secure authentication tokens.To ensure the security of QR codes and NFC tags, we employ robust encryption during their generation. Digital signatures augment authenticity, rendering replication or tampering exceedingly challenging for counterfeiters. The system undergoes rigorous testing in real-world scenarios to assess its ef ectiveness in detecting counterfeit products and furnishing precise product authentication. Consumer and business feedback informs iterative system refinementsThe Counterfeit Product Detection project, harmonizing QR codes and NFC tags, introduces an innovative and all-encompassing solution to the persistent counterfeit product challenge. By elevating authentication and traceability, this endeavor seeks to shield consumers, preserve brand integrity, and fortify the global anti-counterfeit effort. The project's potential impact is substantial, promising bolstered consumer confidence and contributing to counterfeit product eradication across industries.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. "COUNTERFEIT PRODUCT DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1947-1952
MLA SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. "COUNTERFEIT PRODUCT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1947-1952.
APA SRINIVASAN A, RAGESH N, JAYESH V A, & SRIRAM S. (2023). COUNTERFEIT PRODUCT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1947-1952.
Chicago SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. "COUNTERFEIT PRODUCT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1947-1952.
Oxford SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. 'COUNTERFEIT PRODUCT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1947-1952. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/COUNTERFEIT_PRODUCT_DETECTION_ijariie21807.pdf (Accessed : ).
Harvard SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. (2023) 'COUNTERFEIT PRODUCT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1947-1952IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/COUNTERFEIT_PRODUCT_DETECTION_ijariie21807.pdf (Accessed : )
IEEE SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S, "COUNTERFEIT PRODUCT DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1947-1952, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/COUNTERFEIT_PRODUCT_DETECTION_ijariie21807.pdf [Accessed : ].
Turabian SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. "COUNTERFEIT PRODUCT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver SRINIVASAN A, RAGESH N, JAYESH V A, and SRIRAM S. COUNTERFEIT PRODUCT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1947-1952. Available from: https://ijariie.com/AdminUploadPdf/COUNTERFEIT_PRODUCT_DETECTION_ijariie21807.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12