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Topic Automatic Extraction Model based on Unstructured Security Intelligence Report

비정형 보안 인텔리전스 보고서 기반 토픽 자동 추출 모델

  • Hur, YunA (Department of Computer Science and Egineering, Korea University) ;
  • Lee, Chanhee (Department of Computer Science and Egineering, Korea University) ;
  • Kim, Gyeongmin (Department of Computer Science and Egineering, Korea University) ;
  • Lim, HeuiSeok (Department of Computer Science and Egineering, Korea University)
  • 허윤아 (고려대학교 컴퓨터학과) ;
  • 이찬희 (고려대학교 컴퓨터학과) ;
  • 김경민 (고려대학교 컴퓨터학과) ;
  • 임희석 (고려대학교 컴퓨터학과)
  • Received : 2019.04.24
  • Accepted : 2019.06.20
  • Published : 2019.06.28

Abstract

As cyber attack methods are becoming more intelligent, incidents such as security breaches and international crimes are increasing. In order to predict and respond to these cyber attacks, the characteristics, methods, and types of attack techniques should be identified. To this end, many security companies are publishing security intelligence reports to quickly identify various attack patterns and prevent further damage. However, the reports that each company distributes are not structured, yet, the number of published intelligence reports are ever-increasing. In this paper, we propose a method to extract structured data from unstructured security intelligence reports. We also propose an automatic intelligence report analysis system that divides a large volume of reports into sub-groups based on their topics, making the report analysis process more effective and efficient.

Keywords

Security;Intelligence Report;Analysis;Topic Modeling;Classification

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Fig. 1. Example of problematic PDF file whenextracting text

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Fig. 2. Topic Modeling based on Security Intelligence Report

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Fig. 3. Result of putting test document in TopicModeling

Table 1. When a PDF document is simply extracted as text

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Table 2. This is an example of extracting the same PDF document by the method developed in this task

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Table 3. Topic by bag-of- words

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Table 4. Security Intelligence Report Topic Automatic Extraction Model Satisfaction Evaluation Question

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Table 5. Security Intelligence Report Topic Automatic Extraction Model satisfaction

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Acknowledgement

Supported by : Korea Creative Content Agency(KOCCA)

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