Combating Counterfeit Products with Blockchain Technology to Enhance Trust and Authenticity in Consumer Markets DOI Open Access

S. Saraswathi,

J Suresh,

Digant Mehul Gandhi

et al.

Indian Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 17(34), P. 3512 - 3521

Published: Sept. 2, 2024

Objectives: Counterfeit products are becoming a global problem where consumers fooled into buying fake goods without being able to verify their authenticity. By taking advantage of the secure and transparent nature blockchain, this work aims establish system for authenticity products. Methods: Recently, blockchain has become more popular because it fosters trust between untrusted participants. A is decentralized, distributed, digital ledger that records transactions by means blocks. It security technology does not allow anyone change or hack block. Using technology, customers do have rely on third parties confirm product originality. Findings: This will show effectiveness blockchain. Blockchain creates authentication. helps in identifying counterfeit entering market increases consumer confidence during purchase. The comparison transaction send rate average latency each type elaborated. CPU consumption Add, Query, Query-all 1.81%, 1.11% 1.27% respectively. memory add, Query all respectively 53MB, 45MB 92 MB. Novelty: manufacturers add real serial numbers ledgers. number stored protected from tampering. check before it. To manufacturer trader genuine, may also submit reviews they deeper integration within offers novel approach enhancing transparency verification process. We developed user-friendly interface manufacturers, sellers, customers, novelty our solution. Keywords: product, Blockchain, Supply chain, Product Authenticity, Trust

Language: Английский

Integrating AI in Food Contaminant Analysis: Enhancing Quality and Environmental Protection DOI Creative Commons
Kuppusamy Sathishkumar, Meivelu Moovendhan‬‬‬‬‬‬‬‬,

Loganathan Praburaman

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100509 - 100509

Published: Oct. 1, 2024

Language: Английский

Citations

4

Multifunctional Nitrogen-Doped Carbon Nanodots: A New Paradigm in Anticounterfeiting and Fingerprint Forensics Imaging DOI Creative Commons
Mir Waqas Alam,

P. Saravanan,

Manickam Selvaraj

et al.

Waste and Biomass Valorization, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

Citations

0

Additive Manufacturing (AM) and 3D Bioprinting for Biomedical Application: Understanding the Drivers, Barriers and Technology Trends DOI Open Access
Peter Onu, Anup Pradhan, Nelson Sizwe Madonsela

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 1276 - 1282

Published: Jan. 1, 2025

Language: Английский

Citations

0

Integration of AI and IoT in Smart Manufacturing: Exploring Technological, Ethical, and Legal Frontiers DOI Open Access
Peter Onu, Anup Pradhan, Nelson Sizwe Madonsela

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 654 - 660

Published: Jan. 1, 2025

Language: Английский

Citations

0

Blockchain Technology for Evidence Integrity DOI
Vijayakumar Ponnusamy, Nandini Manickam,

Naveen Arivazhagan

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 42

Published: Feb. 28, 2025

Forensic science plays a crucial role in investigating crime events through scientific methods. It collects evidence based on fingerprints and DNA analysis that must be presented court for judgment. faces difficulties the data between interconnected devices also privacy security issues. Blockchain technology provides solutions by creating immutable transparent records chain of blocks. Since it creates copy transactions makes available all nodes chain, modifying or deleting transaction becomes difficult. This chapter discusses blockchain enhancing integrity various techniques, advantages, challenges faced cyber forensics.

Language: Английский

Citations

0

Science, Technology, Engineering and Mathematics (STEM) Education and the Influence of Industry 4.0 DOI
Peter Onu, Omolayo M. Ikumapayi, Ezekiel Ọlaoluwa Ọmọle

et al.

Published: April 2, 2024

Language: Английский

Citations

1

Autonomous Microgrids Optimization Using Reinforcement Learning: Applications, Challenges and Prospects DOI
Peter Onu, Anup Pradhan, Nelson Sizwe Madonsela

et al.

Published: June 3, 2024

Language: Английский

Citations

0

Quality Assurance and Reliability: A Rigorous Investigation of Theoretical Frameworks and Practical Applications DOI

Elewa Remilekun Racheal,

Adeolu Adesoji Adediran, Sunday A. Afolalu

et al.

Published: April 2, 2024

Language: Английский

Citations

0

Mechatronic Integrated Solutions: Advancing Sustainable Manufacturing through Collaborative Engineering, Industry 4.0 Innovations, and Digital Economy Synergies DOI
Peter Onu, Charles Mbohwa

Published: April 2, 2024

Language: Английский

Citations

0

Human reliability in complex systems: A profound investigation into the unpredictable element DOI

Elewa Remilekun Racheal,

Sunday A. Afolalu,

Adediran Adeolu A

et al.

Published: April 2, 2024

Language: Английский

Citations

0