大数据和人工智能时代数据安全风险及应对策略
Data Security Risks and Response Strategies in the Era of Big data and Artificial Intelligence
张微1
作者信息
- 1. 北京市监察委员会蟒山留置保障中心,北京 102200
- 折叠
摘要
大数据和人工智能时代,数据因易受到模型算法攻击以及网站病毒攻击等因素影响,面临多重风险,易导致重要数据泄露.然而对大数据和人工智能系统而言,需要大量数据作为支撑提供服务,这些数据中包含多种敏感信息,如财务信息和个人隐私等.如果这些数据被篡改或者滥用,会带来严重的后果.相关部门应根据现实情况,全面分析数据安全风险因素,制定合理的应对策略,降低数据安全风险系数.
Abstract
In the era of big data and artificial intelligence,data information is vulnerable to multiple risks such as model algorithm attacks and website poisoning attacks,which can easily lead to important data leaks.However,for big data and artificial intelligence systems,a large amount of data is needed as support to provide services,which includes various sensitive information such as financial information and personal privacy.If these data are tampered with or abused,it will bring serious consequences.Relevant departments should comprehensively analyze data security risk factors based on the actual situation,formulate reasonable response strategies,and reduce the data security risk coefficient.
关键词
大数据/人工智能时代/数据安全/风险Key words
big data/the era of artificial intelligence/data security/risk引用本文复制引用
出版年
2024
NETL
NSTL
万方数据