Video Steganography in IoT: Information Embedding using OpenCV and 2LSB
Urmila Pilania, Manoj Kumar, Sanjay Kumar Singh, Vivaan Mittal · 2023
After a review of many research study it is been concluded that various security techniques are used for data transmission in Internet of Things (IoT) devices. Considerable progress has been made in enhancing data transmission security, but still, some gaps exist. Existing steganography techniques exhibit gaps such as limited concealing capacity, substandard quality of stego files, and reduced resilience when faced with image processing attacks. To overcome some of the existing gaps proposed work utilizes video steganography. In this work, a video steganography technique for securing data transmission in IoT devices has been proposed using OpenCV and Least Significant Bit (LSB). Extraction of video frames for hiding secret data has been done using OpenCV and then concealing the secret message is employed by the 2 LSB technique. The two Least Significant Bits are modified to hide the secret message. OpenCV facilitates the identification of suitable regions of interest for concealing secret data, leading to enhanced robustness in hiding information. Videos offer a wide range of possibilities for embedding secret information, resulting in a significant capacity for concealment and imperceptibility. For measuring the performance of research work Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Entropy, and Histogram analysis are done.