数据交易量化背景下互联网企业数据安全问题研究
Research on Internet Enterprises'Data Security Issues in the Context of Data Trading Quantification
陈谊祥1
作者信息
- 1. 深圳市南山区创新发展促进中心(深圳市南山区知识产权促进中心),广东 深圳 518000
- 折叠
摘要
随着5G技术的大规模应用,数据交易逐渐成为市场经济中的新质生产力,互联网企业在发展过程中数据安全风险也越来越大,稍不注意就可能给企业的发展带来毁灭性的打击.本文通过对深圳市某区的部分典型案件进行分析,重点梳理数据交易量化背景下的互联网企业在发展中可能存在的数据安全风险点,以促进互联网企业长远发展.并且从企业建立数据获取机制、数据存储机制、数据交易机制、数据审查机制四个维度提出了企业完善数据安全体系建设的建议.
Abstract
With the large-scale application of 5G technology,internet companies are facing increasing data security risks during their development process,which could potentially lead devastating blows to the com-panies if not careful.This article analyzes some typical cases to highlight the possible data security risk points for companies in the context of big data,order to warn and educate companies.Meanwhile,suggestions are put forward for the improvement of data security system from the perspective of data acquisition mecha-nism,data storage mechanism data usage mechanism and data review mechanism.
关键词
数据交易/互联网企业/数据安全/案例/技术经纪Key words
Data Trading/Internet Enterprises/Data Security/Case Studies/Technology Brokerage引用本文复制引用
出版年
2024
NETL
NSTL
万方数据