Steganographic Metadata Embedding to Trace the Footprint of WhatsApp Images
This research paper proposes a method to trace the footprint of senders while forwading of images on WhatsApp by embedding metadata (such as mobile numbers) using Least Significant Bit (LSB) steganography. The technique ensures that the hidden information is imperceptible to users and remains intact even after WhatsApp’s image compression. The method allows for tracking the digital footprint of images, providing traceability to combat misinformation, piracy, and privacy concerns. The system is robust, enabling metadata recovery after multiple shares, with applications in digital forensics, media integrity, and monitoring the spread of viral content
Authors
- Suresh N. Mali (ORCID: https://orcid.org/0000-0001-6540-1604)
- Vaibhav Dobe
- Dhudhbahte Priyanka
- Riya Dhomne
- Komal Dumbare
Publication Details
- Journal
- International Journal of Advanced Research in Science Communication and Technology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.48175/ijarsct-19993
- Primary Topic
- Advanced Steganography and Watermarking Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00