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作 者:胡石[1] 章毅[1] 许乐灵[1] 陈心怡[1] 陈芳[1] HU Shi;ZHANG Yi;XU Leling;CHEN Xinyi;CHEN Fang(Dept.of Mechanical and Electrical Technology,Chizhou Vocational and Technical College,Chizhou 247000,China)
机构地区:[1]池州职业技术学院机电技术系,安徽池州247000
出 处:《淮海工学院学报(人文社会科学版)》2018年第9期113-115,共3页Journal of Huaihai Institute of Technology(Humanities & Social Sciences Edition)
基 金:安徽省高校优秀拔尖人才培育资助项目(gxyq2017218);安徽省高等学校自然科学重点研究项目(KJ2018A0181)
摘 要:身份识别是网络社交中涉及用户个人信息安全的关键所在,对于社会稳定和安全影响极大。目前,普通用户身份识别方法不能根据社交网络类型的不同及时调整用户身份信息的校验速度。为解决此问题,提出复杂通信环境下多社交网络用户身份识别方法,与普通用户身份识别方法相比,应用复杂通信环境下多社交网络用户身份识别方法后,在社交网络平台中,用户身份信息的校验速度都得到大幅提升。Identity recognition is the key to the safety of users’ personal information in Internet social interaction, which has great influence on social stability and security. At present, ordinary user identification methods cannot adjust the verification speed of user identity information in time according to the different types of social networks. To this end, a multi-social network user identification method in a complex communication environment is proposed. Compared with the common user identification method, the authentication speed of the user identity information has been greatly improved in the social network platform after the application of the multi social network user identification method in the complex communication environment.
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