Dual Modulated QR Codes for Proximal Privacy and Security.

Area of Science:

• Computer Science
• Information Security
• Human-Computer Interaction

Background:

• Public surveillance cameras pose risks to sensitive data input via keyboards.
• Securely transmitting private information in public spaces remains a significant challenge.

Purpose of the Study:

• To introduce Dual Modulated QR (DMQR) codes as a novel solution for secure data communication in public.
• To leverage QR code technology for enhanced user privacy against surveillance.

Main Methods:

• Developed DMQR codes, an extension of conventional QR codes, using dual data embedding techniques.
• Implemented primary data embedding via intensity modulation and secondary data via orientation modulation of elliptical dots within modules.
• Utilized smartphone cameras for capturing and decoding DMQR codes.

Main Results:

• DMQR codes successfully embed primary data using standard QR code intensity modulation.
• Secondary data, embedded via elliptical dot orientation, is accurately decoded at close distances (e.g., 6 inches).
• Secondary data becomes unrecoverable at longer distances (e.g., >12 inches), providing "proximal privacy".

Conclusions:

• DMQR codes offer a viable method for secure private information transmission in public surveillance environments.
• The "proximal privacy" feature effectively limits data accessibility to intended close-range users.
• Adaptability of DMQR code privacy levels through elliptical dot eccentricity is demonstrated.