Emergent Cybersecurity Information Discovery in Support of Cyber Threat Prevention

Businesses suffer from cyberattacks and demand a proactive defense strategy to adapt to the rapidly evolving landscape of cyberattacks. In order to acquire emergent attack trends, this research collects online cybersecurity news as the data source. It proposes an unsupervised learning approach that automatically extracts new cybersecurity information to find emergent cyber threat intelligence. The proposed discovery solution consists of two stages of clustering: the first stage identifies new topics, and the second phase further clusters the news articles of the new topics into groups so that those with similar contents are gathered in a group. The experimental results demonstrate that the proposed method can identify emergent threat intelligence effectively.

關鍵字

Event Detection ； Threat Intelligence ； Topic Model

主題瀏覽

Emergent Cybersecurity Information Discovery in Support of Cyber Threat Prevention

摘要

關鍵字

延伸閱讀

本網站使用Cookies