摘要
笔者主要阐述了大数据时代软件产品个人信息安全问题,结合当下大数据时代软件产品交流内涵、网络基本特征、个人信息安全问题,以提升大数据时代软件产品个人安全的主要方法为依据,从非结构信息化特征、定位功能特征、资源有效共享特征、用户个人信息保护是难题、网民个人信息保护意识不足、保护用户个人信息隐私,建立规范使用机制、建立安全保证法律条文,完善阶梯式惩罚机制、提升个人信息保护意识以及维护网络安全等方面进行深入探讨和分析,其目的在于提高大数据时代个人信息安全的运作效率。
The author mainly elaborates the personal information security of software products in the era of big data. Combining with the connotation of communication, basic network characteristics and personal information security of software products in the era of big data, and based on the main methods of improving personal security of software products in the era of big data, the author discusses the characteristics of non-structural information, location function, effective sharing of resources and personal information of users. Protection is a difficult problem, the lack of awareness of personal information protection, the protection of users'personal information privacy, the establishment of standardized use mechanism, the establishment of security guarantee legal provisions, the improvement of ladder punishment mechanism, the promotion of personal information protection awareness and the maintenance of network security are discussed and analyzed in depth. The purpose is to improve the operational efficiency of personal information security in the era of big data.
作者
张寅昊
Zhang Yinhao(Jiaxing Center for Disease Control and Prevention, Jiaxing Zhejiang 314000, China)
出处
《信息与电脑》
2019年第4期213-214,共2页
Information & Computer
关键词
大数据时代
软件产品
个人信心
法律条文
big data age
software products
personal confidence
legal provisions
