Retrieving Potential Cybersecurity Information from Hacker Forums | |
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學年 | 110 |
學期 | 1 |
出版(發表)日期 | 2021-11-01 |
作品名稱 | Retrieving Potential Cybersecurity Information from Hacker Forums |
作品名稱(其他語言) | |
著者 | CM Chen; DW Wen; YH Ou; WC Chao; ZX Cai |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | International Journal of Network Security 23(6), pp.1126-1138 |
摘要 | To adapt to the rapidly evolving cyberattacks, cyber threat knowledge is essential for organizations to gain visibility into the fast-evolving threat landscape and timely identify early signs of an attack and the adversary’s strategies, tactics, and techniques. In addition, to gaining insight into potential cyber threats, hacker forums are a valuable source. However, the complexity and diversity of the content in hacker forums make it challenging to retrieve useful cybersecurity information. This research proposes an improved data preprocessing method to reduce feature dimension and a hybrid method combining text tagging and clustering analysis techniques to discover cybersecurity information from unstructured hacker forums. The experimental results illustrate that the proposed solution could extract cybersecurity information efficiently. |
關鍵字 | Cyber Threat Intelligence;Hacker Forum;Latent Dirichlet allocation;Natural Language Processing |
語言 | en_US |
ISSN | 1816-3548 |
期刊性質 | 國內 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | 是 |
國別 | TWN |
公開徵稿 | |
出版型式 | ,電子版,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121996 ) |
SDGS | 產業創新與基礎設施 |