基于生成对抗网络的计算机异常数据入侵检测分析

Computer Abnormal Data Intrusion Detection Based on Generative Countermeasure Network

阐述针对复杂大规模未知数据集实施有效检测,生成对抗网络模型的生成器和判别器,提升模型的数据训练能力和降低误检、漏检率,探讨生成对抗网络模型的机器学习方法。

This paper describes how to implement effective detection for complex large-scale unknown data sets, generate generators and discriminators of adversary network models, improve the data training ability of models and reduce the rate of false detection and missed detection, and discusses the machine learning method for generating adversary network models.