Survey of Research on Named Entity Recognition in Cyber Threat Intelligence

Keke Zhang, Xu Chen, Yongjun Jing, Shuyang Wang, Lijun Tang
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Abstract

Facing the complex network security environment, it is particularly important to quickly obtain the latest network threat intelligence to identify, block and track network attacks. How to obtain network threat intelligence data has become a key research content. Named entity recognition (NER) technology provides ideas to solve this problem. Firstly, this paper summarizes the methods of named entity recognition, then introduces the research status of NER in the field of Chinese, then introduces the latest research results of NER in the field of network security, and finally summarizes the challenges encountered in related tasks and the prospect of future research.
网络威胁情报中命名实体识别研究综述
面对复杂的网络安全环境,快速获取最新的网络威胁情报对识别、阻断和跟踪网络攻击显得尤为重要。如何获取网络威胁情报数据已成为一个重要的研究内容。命名实体识别(NER)技术为解决这一问题提供了思路。本文首先总结了命名实体识别的方法,然后介绍了NER在中文领域的研究现状,然后介绍了NER在网络安全领域的最新研究成果,最后总结了相关任务中遇到的挑战和未来研究的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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