Framework for efficient data-concealing mechanism and privacy-preserving information restoration using efficient wavelet lifting for secure transmission between node to node

The increasing popularity of High-Dimensional Data (HDD) transmission over communication networks seriously threatens the client’s privacy. Therefore, secure multimedia data transmission, especially for HDD, brings resistance to interception in multimedia services. The popularity of privacy-preserving secret information restoration methods has increased, and they are considered a pivotal technique for safeguarding confidential information during transmission over networks. The proposed security approach offers an improved and efficient wavelet lifting scheme with an advanced data mixing policy to ensure the integrity and confidentiality of sensitive data. Here the optimized wavelet lifting scheme is guided by adaptive weighting parameters for high-quality transformation of HDD. A key-based permutation approach (symmetric encryption) is applied to securely shuffle the data that ensures reversible and privacy-preserving protection of secret information. The custom wavelet lifting scheme in the proposed privacy-preserving secret information restoration method is renowned for its reversible and computationally efficient properties. It is employed to transform the mixer’s HDD into a multi-resolution dimensionally reduced transformed sparse representation, which enables precise location for data embedding and mixing. It also offers an optimized data mixing policy tailored to HDD, ensuring a good balance between distortion factors and security strength while preserving the imperceptibility of the secret information. While leveraging the synergy in the proposed security approach, the mixed data representation remains visually indistinguishable from the original and provides robust protection against unknown threats. The experimental results on mixed HDD sets demonstrate improved PSNR, strong security against LSB-based attacks, and effective data reconstruction. It also demonstrates that the approach offers superior security performance with low distortions, and the analysis of PSNR and histogram shows its effectiveness with optimal results compared to previous popular research works, making it a reliable solution for futuristic secure high dimensional data transmission in bandwidth-intensive applications.