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A Study on A Model of Convergence Security Compliance Management for Business Security  

Kim, Minsu (경기대학교 융합보안학과)
Publication Information
Convergence Security Journal / v.16, no.5, 2016 , pp. 81-86 More about this Journal
Abstract
Recently, increasing security threats are not only interfering with business continuity of companies but they are al so causing serious problems on social and national levels. As violation of intellectual property rights increases due to growing competition between different companies and countries, companies are now required to follow various IT compliance regulations, under relevant legal obligations. This study proposed a model of convergence security compliance management by using machine learning, in order to help companies actively utilize IT compliance.
Keywords
IT Compliance; Machine Learning; Machine Learning Algorism; Business Information Security; Convergence Security;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 https://ko.wikipedia.org/wiki/%EC%BB%B4%ED%94%8C%EB%9D%BC%EC%9D%B4%EC%96%B8%EC%8A%A4.
2 落合誠一, "企業コンプラィァンス確立の意義," ジュリスト1438号, p.12, 2012.
3 松木和道, "企業コンプラィァンスの現實," ジュリスト1438号, p.18, 2012.
4 육태우, "기업 컴플라이언스의 발전 및 집행주체", 강원법학, Vol.47, p.311, 2016.
5 최도현 외, "빅데이터 환경에서 사용자 거래 성향분석을 위한 머신러닝 응용 기법", 한국정보통신학회논문지, Vol.19, No.10, p.2233, 2016.
6 조성준 외, "머신러닝(인공지능)의 산업 응용", Industrial Engineering Magazine, Vol.23, No.2, pp.34-38, 2016.
7 McCallum, Andrew, and Kamal Nigam, "comparison of event models for naive bayes text classification" AAAI-98 workshop on learning for text categorization, 1998.
8 Winkler, Robert L, "Introduction to Bayesian inference and decision" Vol. 15, No. 4, pp. 938-939, 1973.   DOI
9 Altman, Naomi S. "n introduction to kernel and nearest-neighbor nonparametric regression" The American Statistician, Vol. 46, No. 3, pp. 175-185, 1992.
10 Hastie, Trevor, and Rolbert Tibshirani. "Discriminant adaptive nearest neighbor classif-ication" Pattern Analysis and Machine Intelli-gence, IEEE Transactions on, Vol. 18, No. 6, pp. 607-616, 1996.
11 Choi-Jonghu, et al. "pplication of Data Mning Decision Tree" Statistic Korea, Journal of The Korean Official Statistics, Vol. 4, No. 1, pp. 61-83, 1999.
12 Agrawal, Rakesh, and Ramakrishnan Srikant. "Fast algorithms for mining association rules" Proc. 20th int.conf. very large data bases, VLDB, Vol. 1215, pp. 487-499, 1994.
13 Perego, Raffaele, Salvatore Orlando, and P. Palmerini. "nhancing the apriori algorithm for frequent set counting" Data Warehousing and Knowledge Discovery, Springer Berlin Heidelberg, pp. 71-82, 2001.
14 주요정보통신기반시설 취약점 분석.평가 기준, 행정자치부.