Development of Privacy-Preserving for Use Data Generated by Multiple Objects Tracking

Abstract

With the advancement of wireless telecommunications and multimedia technologies in recent years, online video or camera communication over the Internet has eclipsed voice communication as the most popular method of individual interaction. Individuals linked to the Internet or a local network through a digital network connection may conduct video calls. However, Internet technologies lack the necessary security safeguards to ensure the integrity of video streams sent across the network. As a result, video sent over the Internet Protocol requires encryption for authentication and security. The thesis describes a secure video system for encrypting video data prior to network transmission. The system utilizes a light stream encryption method based on the RC4 standard, as well as a novel biometric technique. Techniques for key generation. During the offline phase, our system created complicated keys based on features collected from face images using Linear Discrimination Analysis (LDA). This key is used as a secret key vector to encrypt video data. Encrypting the secret key vector using the RC4 technique and then sending it to the receiver along with the encrypted face data is one secure approach. The encrypted key vector is then compared to a valid recipient's facial features recorded in the recipient's key vector database. If the match is successful, the recipient is considered genuine, and the encrypted face is returned using an RC4-based key vector...