标题： 基于人工智能的靶向网络钓鱼网络攻击：事实还是虚构？ 显示英文标题

标题： AI-Powered Spearphishing Cyber Attacks: Fact or Fiction?

摘要： 由于社会持续的技术进步，基于机器学习的人工智能系统的功能不断扩展，并影响着更广泛的议题。 随着技术的扩展，越来越多的人愿意滥用这些系统来欺诈和误导他人。 深度伪造技术是一种深度学习算法，能够以令人震惊的准确性将一个人的外貌或声音替换为另一个人，是这些技术之一。 本文研究了这种技术被恶意使用所带来的威胁，尤其是在网络钓鱼攻击的形式下。 它使用深度伪造技术创建类似网络钓鱼的攻击场景，并对普通个体进行验证。 实验结果表明，66%的参与者未能识别出人工智能生成的音频为虚假，而43%的参与者未能识别出此类视频为虚假，证实了人们对网络犯罪分子使用这些技术所带来的威胁日益增长的担忧。 显示英文摘要

摘要： Due to society's continuing technological advance, the capabilities of machine learning-based artificial intelligence systems continue to expand and influence a wider degree of topics. Alongside this expansion of technology, there is a growing number of individuals willing to misuse these systems to defraud and mislead others. Deepfake technology, a set of deep learning algorithms that are capable of replacing the likeness or voice of one individual with another with alarming accuracy, is one of these technologies. This paper investigates the threat posed by malicious use of this technology, particularly in the form of spearphishing attacks. It uses deepfake technology to create spearphishing-like attack scenarios and validate them against average individuals. Experimental results show that 66% of participants failed to identify AI created audio as fake while 43% failed to identify such videos as fake, confirming the growing fear of threats posed by the use of these technologies by cybercriminals.