Video data security prevention system based on artificial intelligence

Yongfeng Li; Yang Xu

doi:10.1117/12.3025662

8 April 2024 Video data security prevention system based on artificial intelligence

Yongfeng Li, Yang Xu

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309051 (2024) https://doi.org/10.1117/12.3025662
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the rapid development of artificial intelligence, video applications have become an indispensable part of water conservancy flood control and disaster mitigation. As an important carrier of multimedia information, video has been widely used in many informatization fields. However, video is vulnerable to various attacks during storage and transmission, resulting in a series of security issues. Therefore, the prevention and protection of video data security is a necessary technical means to promote the continuous development of video applications. The purpose of this paper is to discuss video data security prevention system based on artificial intelligence. In the experiment, taking the monitoring point at the gate of the M community as the experimental target, the experiment and results of the video data and the encryption effect of the video data are investigated and analyzed by using the algorithm. The PSNR values of the encrypted surveillance video images are all less than 26, and the SSIM values are all less than 0.3, which indicates that the encryption operation destroys the texture features of the video images, and the video content can no longer be recognized by the human eye, thus achieving the purpose of encryption.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongfeng Li and Yang Xu "Video data security prevention system based on artificial intelligence", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309051 (8 April 2024); https://doi.org/10.1117/12.3025662

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video surveillance

Video

Computer security

Data storage

Artificial intelligence

Network security

Data transmission

Show All Keywords

Keywords/Phrases

Search In:

Publication Years