摘要
互联网+时代信息化系统的普及,一定程度上提高了人们共享化水平,同时也面临着海量的木马、病毒等非法攻击破坏人们隐私数据安全的风险。因此,为了提高网络安全防御水平,本文提出了一种基于人工智能的安全防御模型。该模型拥有多个层次,包括识别层和杀毒层。识别层部署一个人工智能算法,如深度学习算法,该算法能够基于木马、病毒的特征基因片段,识别网络中的安全威胁,并将其发送给杀毒层,完成病毒或木马清除工作。
The popularity of Internet plus era information system has improved people’s sharing level to a certain extent,and is also faced with massive risk of illegal data such as Trojan horse and virus,which undermines the safety of people’s privacy data.Therefore,in order to improve the level of network security defense,this paper proposes a security defense model based on artificial intelligence.The model has multiple levels,including identification layer and anti-virus layer.The identification layer deploys an artificial intelligence algorithm,such as deep learning algorithm.The algorithm can identify security threats in the network based on the characteristic gene fragments of Trojans and viruses,And send it to the anti-virus layer to complete the removal of virus or Trojan horse.
作者
张荣
ZHANG Rong(Guangdong Institute of Arts and Sciences,Zhanjiang Guangdong 524400,China)
出处
《信息与电脑》
2021年第13期180-182,共3页
Information & Computer
基金
2020年广东省教育发展专项资金(支持民办教育发展)(项目编号:粤财科教[2020]28号)
2017年广东文理职业学院创新强校工程-“品牌专业”项目(项目编号:GWL201703006)。
关键词
人工智能
深度学习
网络安全
防御
artificial intelligence
deep learning
network security
defense
