摘要
常见的互联网安全防御措施包括杀毒软件、访问控制列表、安全免疫、防火墙等,这些防御系统触发的条件是存在病毒或木马等非法攻击,属于被动的防御功能,无法为网络提供一个强大的、主动的、积极的防御,一旦非法攻击比较强大,这样就会造成系统感染病毒或木马,造成数据被盗、系统瘫痪,形成无法弥补的损失。因此,为了适应新时期互联网安全防御需求,提高网络安全防御能力,该文提出了一种基于主动模式的防御系统,该系统就可以引入机器学习技术,利用机器学习分析、识别网络中的病毒、木马特征,及时的启动防火墙、杀毒软件等,将病毒清除或转移到隔离区,保障网络的安全运行。
The Internet security defense measures including the common anti-virus software, access control list, safety, immune firewall, trigger condition of the defense system is the presence of a virus or Trojan and other illegal attacks, belongs to the passive defense function, cannot provide a strong, active, active defense network, once the illegal attack is more powerful so, it will cause the system infected with a virus or Trojan, cause paralysis, data theft system, the formation of irreparable loss. Therefore, in order to adapt to the new era of Internet security needs, improve the network security defense ability, this paper proposes a model Based on active defense system, this system can be introduced into the machine learning technology, using machine learning analysis, identify the characteristics of viruses and Trojans, timely start the firewall and antivirus software, will remove the virus or transfer to quarantine, guarantee the safe operation of the network.
出处
《电脑知识与技术（过刊）》
2017年第11X期74-75,共2页
Computer Knowledge and Technology
关键词
互联网
机器学习
安全防御
主动
Internet
machine learning
security defense
initiative
