Dr. Rakesh Kumar

Peer-Reviewed International Journals (SCIE/Scopus Indexed, Q1)

• J1

  Kumar, R., Bansal, S., & Bansal, R. K. (2026). Dealing with downward recompression for robust steganography in high quality JPEG images. Journal of Visual Communication and Image Representation (Elsevier), 118, 104817. SCIE Q1

  This research addresses the critical challenge of downward recompression in social media platforms by introducing a robust content-adaptive steganography framework. It enables reliable covert communication that maintains data integrity even after aggressive lossy compression.

  DOI: 10.1016/j.jvcir.2026.104817
• J2

  Kumar, R., Bansal, S., & Bansal, R. K. (2025). MRAS: A matching robust adaptive steganography scheme for JPEG images over social networking platforms. Signal Processing (Elsevier), 238, 110172. SCIE Q1

  Introducing the MRAS scheme, this work provides a matching robust adaptive approach specifically tailored for JPEG images. It ensures high-fidelity steganography that survives the standard compression artifacts introduced by major social networking platforms.

  DOI: 10.1016/j.sigpro.2025.110172
• J3

  Kumar, R., Bansal, S., & Bansal, R. K. (2025). Downward recompression robust JPEG steganography via efficient content-adaptive embedding. Multimedia Tools and Applications (Springer). SCIE Q1

  This paper proposes an efficient content-adaptive embedding technique that demonstrates superior resistance to recompression compared to traditional methods.

  DOI: 10.1007/s11042-025-21136-y

Book Chapters

• B1

  Kumar, R. (2024). Hidden in plain sight: steganography's role in digital security. In Applications of Artificial Intelligence in the Internet of Things (pp. 247–262). Cambridge Scholars Publishing. ISBN: 978-1-0364-1106-0.

  Publisher Page PDF

Conference Proceedings & Presentations

• C1

  Kumar, R., Bansal, S., & Bansal, R. K. (Mar 2024). Robust Data Hiding for High Fidelity JPEG Images Over Social Networking Platforms. In N. Hasteer et al. (Eds.), Adaptive Intelligence — Lecture Notes in Electrical Engineering (pp. 353–362). Springer Nature Singapore.

  DOI: 10.1007/978-981-97-9045-6_29 PDF
• C2

  Kumar, R., Bansal, S., & Bansal, R. K. (Dec 2024). Steganography on JPEG Images: Issues and Challenges. 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS), GLA University, Mathura, India: IEEE, pp. 1–5.

  DOI: 10.1109/CCIS63231.2024.10932073 PDF
• C3

  Kumar, R., Bansal, S., & Bansal, R. K. (Nov 2023). A Resilient Approach to Robust JPEG Steganography: Ensuring Hidden Data Integrity. 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Sharnbasva University, Kalaburagi, India: IEEE, pp. 1–6.

  DOI: 10.1109/ICIICS59993.2023.10421695 PDF
• C4

  Kumar, R. (Oct 2023). Exploring Steganography in 3D Manufacturing Models. International Conference on Advancements & Futuristic Trends in Mechanical & Materials Engineering (AFTMME-23), MRSPTU. (Presentation only — no published proceedings)

• C5

  Bansal, S., Bansal, R. K., & Kumar, R. (Jul 2021). A Novel Upgraded Uniform Embedding Technique for JPEG Steganography. In A. K. Nagar et al. (Eds.), Intelligent Sustainable Systems — Lecture Notes in Networks and Systems (pp. 723–730). Springer Nature Singapore.

  DOI: 10.1007/978-981-16-6309-3_68 PDF

Articles & Tutorials — Coming Soon

I am currently compiling in-depth tutorials and educational articles on JPEG Steganography, Steganalysis, and Information Security. Stay tuned!