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作 者:王斌[1] 李鸿飞[2] 许少蔚 Wang Bin;Li Hongfei;Xu Shaowei(Xi’an Institute of Aeronautical computing technology,Xi’an Shaanxi,710065;Xi’an Flight Automatic Control Research Institute,Xi’an Shaanxi,710065)
机构地区:[1]西安航空计算技术研究所,陕西西安710065 [2]西安飞行自动控制研究所,陕西西安710065
出 处:《电子测试》2022年第1期125-127,共3页Electronic Test
摘 要:随着云计算、大数据和5G通信技术的快速发展,促使人类社会迈入到"互联网+"时代,实现了"互联网+行业"等发展模式,大大的提高了人们工作、生活和学习的智能化、自动化和共享化。但是,"互联网+"不仅带来了优势和便利,也面临着许多的安全威胁,比如勒索病毒、盗号木马等,严重威胁网络通信用户的信息安全和财产安全。传统的防火墙、包过滤系统、访问控制系统等网络安全防御技术,多采用被动型的防御模式,一旦爆发网络安全事故,即使防御成功也会面临着一定的损失,因此为了解决这个问题,本文提出构建一个人工智能安全防御系统,该系统能够利用深度学习算法,识别网络数据流中的木马或病毒,采取主动型的防御模式,提高通信安全防御水平。With the rapid development of cloud computing,big data and 5G communication technology,the human society has entered the “Internet plus” era,and has realized the development mode of “Internet plus industry”,which greatly improved the intelligence,automation and sharing of people’s work,life and study.However,“Internet plus” not only brings advantages and convenience,but also faces many security threats,such as blackmail,Trojan horse theft and so on,which seriously threaten the information security and property safety of network communication users.Traditional network security defense technologies such as firewall,packet filtering system and access control system mostly adopt passive defense mode.Once a network security accident breaks out,even if the defense is successful,it will face certain losses.Therefore,in order to solve this problem,this paper proposes to construct an artificial intelligence security defense system,which can use deep learning algorithm,Identify Trojans or viruses in network data flow,adopt active defense mode,and improve communication security defense level.
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