Raks. SK v1.0 - A Secure and Trackable QR Framework with Embedded Metadata and Real-Time Validation
The fast growth of QR cases into everyday digital workflows-spanning commerce, healthcare, logistics/shipping and checking identity verification-has introduced critical challenges around data security, authenticity, and traceability. This study suggests a comprehensive Secure and Trackable QR Code System that immerseAES-256 encrypted metadata into QR codes, enabling/authorize secure communication; tough access control, and end-to and event tracking. The system creates automatically QR codes based on various user-defined information including URLS, Wi-Fi credentials, v lards, location links, and static text. Each information is securely encrypted and tagged with the device’s MAC address and real-time geological coordinates, thereby connecting each code to a unique physical and network identity. The generated QR images employ an enhanced rounded corner drawing style fare improved scanning credibility and visual quality, and are stored as read-only PNG files to prevent unauthorized modification. On scanning, the system performs a flawless decryption process, extracting and displaying the original information while concurrently recording each event-including Scan time, device MAC, and geolocation-into a secure relational database. This ensures full transparency and tracking across Code usage cycles. The architecture is designed for scalability, offering low-latency processing and high encryption throughput suitable for implementing in real-world environments. Verifiable validation highlights the system’s adaptability against fake attacks, unauthorised access, and information/play. - load tampering, confirming its potential for use in smart infrastructure, digital governance, supply chain verification and health informatics The proposed framework provides a ascendable foundation for building trust-centred, metadata-rich QR Code applications in high assurance domains.
Authors
- Sundeep Kumar (ORCID: https://orcid.org/0000-0001-5917-8290)
- Shrikant Upadhyay (ORCID: https://orcid.org/0000-0002-2991-1866)
- Binod Kumar
- Anil Kumar (ORCID: https://orcid.org/0000-0003-2989-9630)
- Rakesh Kumar (ORCID: https://orcid.org/0000-0002-1053-6357)
- Gaurav Ranawat
Institutions
- JDA Software (United States) (US)
- Xavier School of Management (IN)
- Jharkhand Rai University (IN)
- Institute of Physics, Bhubaneshwar (IN)
- Wipro (India) (IN)
- KIIT University (IN)
- Wipro (Singapore) (SG)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/conit65521.2025.11166796
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00