基于大數(shù)據(jù)的模具制造網(wǎng)絡(luò)流量異常檢測(cè)與防御機(jī)制

打開文本圖片集

Bigdatabasednetworktrafficanomalydetectionand defense mechanism for mold manufacturing

LIUJing'，LIGuopeng2，HANKun2

（1.Information Network Center，Xi'an University of Posts& Telecommunications，Information，Xi'an 71O121，Shaanxi， China; 2.Test Center，National University of Defense Technology， Xi'an 71O106，Shaanxi， China）

Abstract： This paper focuses on the network security challenges in the digital transformation of mold manufacturing industry， and explores the network traffic anomaly detection and defense strategies based on big data technology. By integrating advanced technologies such as big data processing，machine learning， deep learning and generating countermeasure network （GAN），a comprehensive and intelligent network monitoring and protection system is constructed. This paper expounds the system framework from data collection to processing， analysis， detection and defense，and uses GAN technology to strengthen data and conduct confrontation training， thus improving the accuracy of anomaly detection and the intelligence of defense. Compared with the traditional support vector machine （SVM） algorithm，our method shows significant advantages in accuracy，recall，F(xiàn)l score and detection ability of various attacks. This big data-based network traffic anomaly detection and defense scheme for mold manufacturing provides a practical and effective guarantee for the network security of the industry.

Key words： big data; mold manufacturing; network traffic; anomaly detection； defense mechanism

0 引言

模具作為工業(yè)生產(chǎn)中的基礎(chǔ)工藝裝備，其設(shè)計(jì)、制造及應(yīng)用的效率與質(zhì)量直接關(guān)系到整個(gè)產(chǎn)業(yè)鏈的競(jìng)爭(zhēng)力和創(chuàng)新力[1]。（剩余6999字）