目前，传统的被动防御技术将无法应对不断增加的大规模网络攻击行为。
Now traditional passive defense technology will not reply the behavior of unceasing increase large-scale network attack.
中国网站平均每天遭受近400次大规模网络攻击，特别是源自境外的网络攻击数量持续快速攀升。
China's websites suffer from an average of nearly 400 large-scale cyber attacks on a daily basis, and the attacks from abroad continue to rise rapidly.
基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
应用推荐