Computer Network Information Security and Protection Strategy Based on Big Data Environment

Abstract

This paper proposed a study on computer network information security and protection strategy based on a big data environment. The research purpose was to use big data technology to network information security protection technology and seek more efficient network information protection technology. The algorithm proposed in this article was a time-series network detection algorithm based on big data, which could improve the early warning rate of abnormal network information, reduce the early warning time, and improve the detection accuracy and interception rate of virus information. The results of this study could effectively show that big data technology had excellent performance in computer network information security protection, which also led to an advanced reform path for future network information security protection technology.

Research on data privacy protection and information security algorithm technology in the standard digitalization background

“…Therefore, this article focuses on the new challenges faced by data privacy protection and information security under the backdrop of standard digitization, systematically reviews the technological development status in related fields, particularly focusing on cutting-edge privacy protection and security algorithmic technologies. It also evaluates these technologies in conjunction with practical cases from the electricity industry, aiming to provide beneficial insights for accelerating the construction of an active immune defense system adapted to the development needs of the digital era and to safeguard the healthy and secure development of the digital economy [2]. models constantly emerging, and the level of digitalization constantly improving.…”