Authentication and authenticity have been a security challenge since the beginning of information sharing, especially in the context of digital information. With the advancement of generative artificial intelligence, these challenges have evolved, demanding a more up-to-date analysis of their impacts on society and system security. This work presents a scoping review that analyzed 88 documents from the IEEExplorer, Scopus, and ACM databases, promoting an analysis of the resulting portfolio through six guiding questions focusing on the most relevant work, challenges, attack surfaces, threats, proposed solutions, and gaps. Finally, the portfolio articles are analyzed through this guiding research lens and also receive individualized analysis. The results consistently outline the challenges, gaps, and threats related to images, text, audio, and video, thereby supporting new research in the areas of authentication and generative artificial intelligence.
翻译:身份验证与真实性自信息共享伊始便构成一项安全挑战,在数字信息背景下尤为突出。随着生成式人工智能的发展,这些挑战不断演变,亟需就其对社会及系统安全的影响进行更前沿的分析。本研究通过范围综述方法,分析了来自IEEExplorer、Scopus和ACM数据库的88篇文献,并围绕六个核心问题对所得文献集展开分析,重点关注最具相关性的研究成果、现存挑战、攻击面、威胁态势、解决方案及研究缺口。最终,文献集既通过这一指导性研究框架进行整体剖析,亦接受了逐篇的个体化分析。研究结果系统性地梳理了涉及图像、文本、音频及视频领域的挑战、缺口与威胁,从而为身份验证与生成式人工智能领域的后续研究提供支撑。