首页> 外文会议>Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining >CyberTwitter: Using Twitter to generate alerts for cybersecurity threats and vulnerabilities
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CyberTwitter: Using Twitter to generate alerts for cybersecurity threats and vulnerabilities

机译:Cyber​​Twitter:使用Twitter生成有关网络安全威胁和漏洞的警报

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摘要

In order to secure vital personal and organizational system we require timely intelligence on cybersecurity threats and vulnerabilities. Intelligence about these threats is generally available in both overt and covert sources like the National Vulnerability Database, CERT alerts, blog posts, social media, and dark web resources. Intelligence updates about cybersecurity can be viewed as temporal events that a security analyst must keep up with so as to secure a computer system. We describe CyberTwitter, a system to discover and analyze cybersecurity intelligence on Twitter and serve as a OSINT (Open-source intelligence) source. We analyze real time information updates, in form of tweets, to extract intelligence about various possible threats. We use the Semantic Web RDF to represent the intelligence gathered and SWRL rules to reason over extracted intelligence to issue alerts for security analysts.
机译:为了保护重要的个人和组织系统,我们需要及时了解网络安全威胁和漏洞。有关这些威胁的情报通常可以在公开和秘密来源中获得,例如国家漏洞数据库,CERT警报,博客文章,社交媒体和暗网资源。关于网络安全的情报更新可以看作是安全分析人员必须跟上的临时事件,以保护计算机系统。我们介绍了Cyber​​Twitter,这是一个用于在Twitter上发现和分析网络安全情报并用作OSINT(开源情报)源的系统。我们以推文的形式分析实时信息更新,以提取有关各种可能威胁的情报。我们使用语义Web RDF表示收集的情报,并使用SWRL规则对提取的情报进行推理以向安全分析人员发出警报。

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