论文标题
网络钓鱼检测利用机器学习和深度学习：评论
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
论文作者
论文摘要
网络钓鱼攻击诱使受害者披露敏感信息。为了应对快速发展的攻击，我们必须探索机器学习和深入学习模型利用大规模数据。我们讨论建立在不同类型数据的模型以及它们的优势和缺点，并提出多个部署选项以检测网络钓鱼攻击。
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.
