中图分类号：TP393.0；TP309文献标识码：ADOI:10.19358/j.issn.2097-1788.2025.04.005
引用格式：徐光亮，宿兴华，赵斯昂. 海量数据下的网络安全智能检测技术研究［J］.网络安全与数据治理，2025，44（4）：32-39.

Cyber security intelligent detection technology under massive data

Abstract： Development trends such as system migration to the cloud, massive data accumulation, and intelligent technology applications have brought many opportunities and challenges to cyber security, especially in the field of intelligent detection. Based on the research status of network security intelligent detection and covert communication technology, this paper proposes a 5-layer framework from data collection to data application, and key technologies such as feature statistical measurement and classification model algorithm from the perspective of network security intelligent detection under massive data. After researching and discussing the detection technology of network covert communication, this paper proposes to evaluate the regularity, fitting degree and correlation between data streams through characteristics statistics index, and designes a classification model based on support vector machine (SVM). The SVM classifier is trained with classification feature vector as input to realize the intelligent detection of covert communication.

Key words : cyber security; SVM; feature vectors; covert communication