Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging large-scale data. We discuss models built on different kinds of data, along with their advantages and disadvantages, and present multiple deployment options to detect phishing attacks.
翻译:利用攻击骗骗受害者披露敏感信息。 为了应对迅速演变的袭击,我们必须探索利用大规模数据的机器学习和深层次学习模式。 我们讨论基于不同类型数据的模型及其利弊,并提出多种部署选项以发现钓鱼袭击。