PBKDF2

User Authentication Using the AES-GSM Algorithm and PBKDF2 Function

This paper presents a cryptographic user authentication protocol based on AES in Galois/Counter Mode (GCM) and key derivation using PBKDF2-HMAC-SHA256. The proposed scheme follows a challenge–response model and ensures confidentiality, integrity, and authenticity of transmitted data without disclosing or storing the password in plaintext. A client-server architecture was implemented, with the backend developed in Flask (Python) and the frontend in JavaScript. The protocol incorporates nonce usage, authentication tag verification, and protection against replay and brute-force attacks.

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.