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.

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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
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article

Raks. SK v1.0 - A Secure and Trackable QR Framework with Embedded Metadata and Real-Time Validation

Sundeep Kumar, Shrikant Upadhyay, Binod Kumar, Anil Kumar et al.
IoT and Edge/Fog Computing
article

Raks. SK v1.0 - A Secure and Trackable QR Framework with Embedded Metadata and Real-Time Validation

Sundeep Kumar, Shrikant Upadhyay, Binod Kumar, Anil Kumar, Rakesh Kumar, Gaurav Ranawat
article en

Abstract

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.

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)
Openalex Percentile: Top 70%
IoT and Edge/Fog Computing
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