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Generating security intelligence through social network sentiment analysis

机译:通过社交网络情绪分析生成安全情报

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摘要

Cybersecurity has moved to the forefront of the technology worldin recent years with the increase in number and sophistication ofattacks. Even though security has become such a crucial aspectof all organizations, the security industry still largely holds a defensivestance where reacting to attacks after they have occurredis more common than proactively finding ways to counter thesethreats. There are many data sources such as social networkingsites, security news sites, and blogs that can be used to improve thissituation and create solutions that help prepare for attacks beforethey occur. In this paper, we present a framework that performssentiment analysis on security based tweets with the aim to providerelevant security information that can be used by analysts orsecurity devices.
机译:近年来,随着网络攻击的数量和复杂程度的提高,网络安全已移至技术领域的最前沿。即使安全性已成为所有组织中如此重要的一个方面,安全行业仍然在很大程度上采取防御措施,即在攻击发生后对攻击做出反应,比主动寻找应对措施更为普遍。威胁。有很多数据源,例如社交网络\ n站点,安全新闻站点和博客,可用于改善此情况并创建解决方案以帮助在发生攻击之前做好准备。在本文中,我们提出了一个框架,可对基于安全性的推文执行情感分析,目的是提供分析人员或安全设备可以使用的相关安全信息。

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    Ariel Rodriguez; Koji Okamura;

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    Graduate School / Faculty of Information Science and Electrical Engineering, Kyushu University Fukuoka, Fukuoka roda@kyudai.jp;

    Graduate School / Faculty of Information Science and Electrical Engineering, Kyushu University Fukuoka, Fukuoka oka@ec.kyushu-u.ac.jp;

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