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.