深度伪造技术给网络可信身份管理带来的挑战与对策  

Challenges and countermeasures brought by deepfake to network trusted identity management

作　　者：孟雪 刘宗媛 李倩 Meng Xue;Liu Zongyuan;Li Qian(Institute of Cyberspace Security,CCID,Beijing 100846;CCID(Qingdao)Blockchain Research Institute Co.,Ltd.,Shandong Qingdao 266000)

机构地区：[1]赛迪研究院网络安全研究所,北京100846 [2]赛迪(青岛)区块链研究院有限公司,山东青岛266000

出　　处：《网络空间安全》2020年第6期75-79,共5页Cyberspace Security

摘　　要：随着人工智能技术的飞速发展,基于深度学习的深度伪造技术正受到社会或业界越来越多的关注.在丰富人们文化娱乐生活的同时,深度伪造技术也引发了诸多社会问题,尤其给网络可信身份管理带来了潜在风险.随着深度伪造技术的不断进步,其引发的安全威胁和信任危机将愈加严重,采取有效措施遏制深度伪造的滥用风险已经迫在眉睫.文章首先介绍了深度伪造技术的原理和特点,接着深入剖析了其给网络可信身份管理带来的严峻挑战,最后从监管和技术层面研究,提出了有针对性的防范对策.With the rapid development of artificial intelligence technology,deep learning-based Deepfake is receiving more and more attention.While enriching people's cultural and entertainment life,Deepfake has also caused many social problems,especially bringing potential risks to network trusted identity management.With the continuous advancement of deepfake,the security threats and trust crises it cause will become more and more serious.It is urgent to take effective measures to curb the abuse risk of deepfake.This paper introduces the techniques and characteristics of Deepfake technology,analyzes the severe challenges it brings to trusted cyber identity management,and proposes targeted preventive countermeasures from the perspective of supervision and technology.

关 键 词：网络安全 人工智能 深度伪造 网络可信身份管理 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]