摘要
传统信息安全防御体系强调网络边界和主机防护,但随着云计算、大数据、人工智能等新技术在工业控制领域中的融合应用,利用传统手段进行有效防御变得越来越困难,传统理念、传统技术已经无法应对越来越严重的工业信息安全威胁。需要利用大数据、威胁情报等新型技术来保护工业企业安全运营。
Traditional cyber security emphasize boundary and node protection,but with the convergence of new technologies such as cloud computing,big data,and artificial intelligence in industrial automation,the validity of traditional methodology becomes more and more poor. Traditional technology has been unable to cope with ICS cyber security risk. New technologies such as big data and threat intelligence are introduced to protect industrial cyber security.
作者
王弢
崔君荣
Wang Tao, Cui Junrong(360 Enterprise Security Group, Beijing 100015,Chin)
出处
《信息技术与网络安全》
2018年第6期3-5,共3页
Information Technology and Network Security
关键词
数据驱动
工业信息安全
威胁情报
data driven
industrial control system cyber security
threat intelligence