MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051513 A) filed by Srinivasa Ramanujan Institute Of Technology; Dr. D. Maruthi Kumar; B. Bhavana Suresh; B. Bharath; and K. Devendranath, Ananthapuramu, Andhra Pradesh, on April 22, for 'cyber secure data hiding in encrypted images.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Dr. D. Maruthi Kumar; B. Bhavana Suresh; B. Bharath; and K. Devendranath.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a cybersecure and intelligent framework for reversible data hiding in encrypted digital images using an Advanced Cipher Logic based Data Hiding (ACLDH) technique. With the exponential growth of digital communication and cloud-based multimedia storage, ensuring both confidentiality and integrity of image data has become a critical challenge in modern cyber security systems. The proposed invention integrates strong image encryption with adaptive and reversible data embedding to enable secure insertion of confidential information into encrypted images without compromising image quality or data recoverability. Unlike conventional data hiding techniques that introduce irreversible distortion or suffer from limited payload capacity, the present system employs adaptive threshold-based embedding and intelligent region selection to maximize embedding efficiency while preserving structural characteristics necessary for perfect reconstruction. The framework ensures that embedded secret information can be extracted independently using a data hiding key, and the original image can be restored completely and lossless using a separate encryption key. The separation of cryptographic and embedding operations enhances access control and strengthens resistance against steganalysis, unauthorized modification, and interception attacks. Performance evaluation using quantitative metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), and Structural Similarity Index (SSIM) demonstrates that the ACLDH method achieves superior embedding capacity, higher robustness, and improved visual quality compared to traditional reversible data hiding approaches. The invention is particularly applicable in high- security domains including medical image transmission, military intelligence systems, confidential cloud storage, digital forensics, and privacy-preserving multimedia communication, where distortion-free image recovery and data confidentiality are of paramount importance."
Disclaimer: Curated by HT Syndication.
