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Analysis of Domestic Security Solution Market Trend using Big Data

빅데이터를 활용한 국내 보안솔루션 시장 동향 분석

  • Received : 2019.03.28
  • Accepted : 2019.05.03
  • Published : 2019.05.31

Abstract

To use the system safely in cyberspace, you need to use a security solution that is appropriate for your situation. In order to strengthen cyber security, it is necessary to accurately understand the flow of security from past to present and to prepare for various future threats. In this study, information security words of security/hacking news of Naver News which is reliable by using text mining were collected and analyzed. First, we checked the number of security news articles for the past seven years and analyzed the trends. Second, after confirming the security/hacking word rankings, we identified major concerns each year. Third, we analyzed the word of each security solution to see which security group is interested. Fourth, after separating the title and the body of the security news, security related words were extracted and analyzed. The fifth confirms trends and trends by detailed security solutions. Lastly, annual revenue and security word frequencies were analyzed. Through this big data news analysis, we will conduct an overall awareness survey on security solutions and analyze many unstructured data to analyze current market trends and provide information that can predict the future.

사이버 공간에서 안전하게 시스템을 사용하기 위해서는 상황에 적합한 보안 솔루션을 사용해야 한다. 사이버 보안을 강화하기 위해 과거부터 현재까지 보안의 흐름을 정확히 파악하고 미래의 다양한 위협에 대비해야 한다. 본 연구에서는 텍스트마이닝을 이용하여 신뢰도가 높은 네이버 뉴스의 보안/해킹 뉴스의 정보보안 단어들을 수집 후 분석하였다. 첫 번째는 지난 7년의 연도별 보안 뉴스 기사수를 확인하고 추이를 분석하였다. 두 번째는 보안/해킹 관련 단어 순위를 확인 후 매년 주요 관심사를 확인하였다. 세 번째는 보안 솔루션별 단어를 분석하여 어느 보안 그룹의 관심도가 높은지 확인하였다. 네 번째는 보안 뉴스의 제목과 본문을 분리 후 보안 관련 단어를 추출 후 분석하였다. 다섯 번째는 세부 보안 솔루션별 추이 및 동향을 확인하였다. 마지막으로 연도별 매출액과 보안 단어 빈도수를 분석하였다. 이러한 빅데이터 뉴스 분석을 통해 보안 솔루션에 대한 전반적인 인식 조사를 수행하고 많은 비정형 데이터를 분석하여 현재 시장 추세를 분석하고 미래를 예측할 수 있는 정보를 제공하는 데 기여하고자 한다.

Keywords

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Fig. 1. Analysis procedure

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Fig. 2. Number of security/hacking articles by year

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Fig. 3. Monthly Security/Hacking Articles

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Fig. 4. Frequency by Monthly Information Security Solution

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Fig. 5. Security Solution Articles (Title/Body) ratio analysis

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Fig. 6. Frequency of network security solutions

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Fig. 7. Frequency of system(terminal) security solution

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Fig. 8. Frequency of content(data) / information leakage prevention solution

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Fig. 9. Frequency of password/authentication solutions

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Fig. 10. Frequency of security management solution

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Fig. 11. Security Solutions Sales and Word Frequency(Network Security)

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Fig. 12. Security Solutions Sales and Word Frequency(System (Terminal) Security)

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Fig. 13. Security Solutions Sales and Word Frequency(Security management)

Table 1. Security/Hacking Articles(Unit: number)

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Table 2. Security Solutions Classify

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Table 3. Security/Hacking News Title Keyword Frequency Rank

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Table 4. Security/Hacking News Body Keyword Frequency Rank

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Table 5. Security solution title Frequency ranking

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Table 6. Security solution body Frequency ranking

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Table 7. Information security solution sales - Solution word frequency

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