自然语言处理和大语言模型在网络安全中的钓鱼检测与威胁情报应用
英文摘要
The article discusses how natural language processing and large language models are applied to cybersecurity, specifically for phishing email detection and threat intelligence. It notes that these technologies analyze language patterns to identify deceptive messages. LLMs also assist in processing security-related text to uncover potential threats. The content provides a high-level overview of these use cases.
中文摘要
文章介绍了自然语言处理和大语言模型在网络安全领域的应用，重点涉及钓鱼邮件检测和威胁情报分析。大模型通过识别语言模式来发现欺骗性信息，并处理安全文本以挖掘潜在威胁。内容为这些应用场景提供了简要概述。
关键要点
NLP and LLMs detect phishing emails by recognizing deceptive language patterns.
NLP和大语言模型通过识别欺骗性语言模式来检测钓鱼邮件。
They enhance threat intelligence by automatically processing and extracting insights from security-related text.
它们通过自动处理安全相关文本并提取情报来增强威胁分析能力。