cryptographic stability

SELECTIVE ENCRYPTION OF VIDEO INFORMATION BASED ON SEMANTIC SEGMENTATION USING U-NET NEURAL NETWORK

In the digital age, video information has taken a leading place among data types in terms of volume and significance. Large amounts of visual data are created daily using video cameras, mobile gadgets, drones and network services, and a significant part of this content may contain personal or confidential information. Although traditional full encryption of the video stream guarantees a high level of protection, it is accompanied by a number of disadvantages: high load on computing resources, delays during data transmission and difficulties in implementing real-time processing.

Encryption and decryption of grayscale and color images

Images used as a stochastic signal are among the most commonly used types of information. Accordingly, the actual task is to protect such images from unauthorized access and use. This leads to the use of known classic encryption methods in the case of image encryption. Offered algorithms of encryption-decryption are intended for the use of images in grayscale and are based on using the ideas of basic RSA algorithm. Encryption – decryption can be carried out with extra noising and without too.