大数据背景下客户端隐私及其防护策略  

Client Privacy and Its Protection Strategy in the Context of Big Data

作　　者：戴娇宁 黄骁[2] DAI Jiaoning;HUANG Xiao(College of Information Science and Technology,Hebei Agricultural University,Baoding Hebei 071000,China;Tangshan Polytechnic College,Tangshan Hebei 063000,China)

机构地区：[1]河北农业大学信息科学与技术学院,河北保定071000 [2]唐山工业职业技术学院,河北唐山063000

出　　处：《信息与电脑》2022年第8期208-211,共4页Information & Computer

基　　金：河北省教育技术研究立项课题“基于网络学习空间的数字化学习环境研究”(项目编号:hbdj20200127)。

摘　　要：客户端设备和姓名、身份证号码等个人隐私一样,也存在IP地址、端口、操作系统指纹之类的隐私,骗子获取这些隐私后可能实施诈骗,黑客获得这些隐私后可实施更有效的攻击,从而获得用户的直接隐私。基于此,笔者首先分析了客户端隐私及其泄露风险,其次分析了客户端隐私的自我发现,最后探讨了端口及其关闭措施。Like personal privacy such as name and ID number, client devices also have privacy such as IP address, port, operating system fingerprint, etc. Fraudsters may commit fraud after obtaining these privacy, and hackers can implement more effective attack, thereby gaining the direct privacy of the user. Based on this, the author first analyzes the client privacy and its disclosure risk, then analyzes the self discovery of client privacy, and finally discusses the port and its closing measures.

关 键 词：客户端隐私 通信端口 操作系统指纹 TCP/IP协议栈 嗅探工具 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]