IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Data Engineering and Information Management
Partition-then-Overlap Method for Labeling Cyber Threat Intelligence Reports by Topics over Time
Ryusei NAGASAWAKeisuke FURUMOTOMakoto TAKITAYoshiaki SHIRAISHITakeshi TAKAHASHIMasami MOHRIYasuhiro TAKANOMasakatu MORII
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2021 Volume E104.D Issue 5 Pages 556-561

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Abstract

The Topics over Time (TOT) model allows users to be aware of changes in certain topics over time. The proposed method inputs the divided dataset of security blog posts based on a fixed period using an overlap period to the TOT. The results suggest the extraction of topics that include malware and attack campaign names that are appropriate for the multi-labeling of cyber threat intelligence reports.

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© 2021 The Institute of Electronics, Information and Communication Engineers
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