경영학연구

이 논문의 PDF가 제공되지 않습니다.

REFERENCES (29)

[1]
[1] [학술지(정기간행물)] 안혜영/집합 기반 POI 검색 알고리즘을 활용한 스팸 메시지 판별 모바일 앱 구현/디지털콘텐츠학회논문지/2015/16(5)/815~822/한국디지털콘텐츠학회/http://dx.doi.org/10.9728/dcs.2015.16.5.815 Google Scholar ›
[2]
[2] [학술대회논문] Almeida, T. A./Contributions to the study of SMS spam filtering: new collection and results/Proceedings of the 11th ACM Symposium on Document Engineering/2011//259~262/ Google Scholar ›
[3]
[3] [학술지(정기간행물)] Batista, G. E./A study of the behavior of several methods for balancing machine learning training data/ACM SIGKDD Explorations Newsletter/2004/6(1)/20~29// Google Scholar ›
[4]
[4] [학술대회논문] Bin, Z./Behavior analysis based SMS spammer detection in mobile communication networks/2016IEEE First International Conference on Data Science in Cyberspace (DSC)/2016//538~543/ Google Scholar ›
[5]
[5] [학술대회논문] Byun, S. M./Spam Message Filtering System using Message Digest Algorithm/Proceedings of KIIT Conference/2014//120~123/ Google Scholar ›
[6]
[6] [인터넷자원] Over 130 million spam reports in the last 5 years….010 Outgoing rate surge/http://www.dt.co.kr/contents.html?article_no=2019092902109931032002/DigitalTimes///2019 Google Scholar ›
[7]
[7] [학술지(정기간행물)] Farquad, M. A. H./Preprocessing unbalanced data using support vector machine/Decision Support Systems/2012/53(1)/226~233// Google Scholar ›
[8]
[8] [학술지(정기간행물)] 홍성삼/피싱 사기범죄에 대한 인터폴 및 국가별 대응정책 비교연구/경찰학논총/2019/14(1)/101~130/경찰학연구소/10.16961/polips.2019.14.1.101 Google Scholar ›
[9]
[9] [단행본] Applied Logistic Regression/Hosmer, D./Wiley & Sons/1989/~/// Google Scholar ›
[10]
[10] [학술지(정기간행물)] 장영재/빅데이터, 비즈니스 애널리틱스, IoT: 경영의 새로운 도전과 기회/정보시스템연구/2015/24(4)/139~152/한국정보시스템학회/http://dx.doi.org/10.5859/KAIS.2015.24.4.139 Google Scholar ›
[11]
[11] [학술지(정기간행물)] Jiang, M./Suspicious behavior detection : Current trends and future directions/IEEE Intelligent Systems/2016/31(1)/31~39// Google Scholar ›
[12]
[12] [학술지(정기간행물)] 조인휘/휴대폰 SMS를 위한 SVM 기반의 스팸 필터링 시스템/한국통신학회논문지B/2009/34(9)/908~914/한국통신학회/ Google Scholar ›
[13]
[13] [학술대회논문] Jung, S. K./A Study on User Experience Design of Spam Block/Sharing Service/Proceedings of The HCI Society of Korea/2019//1018~1021/ Google Scholar ›
[14]
[14] [학술지(정기간행물)] 김경희/모바일 환경에서의 미디어 리터러시 구성 요소와 세대 간 미디어 리터러시 격차/한국방송학보/2019/33(4)/5~36/한국방송학회/10.22876/kab.2019.33.4.001 Google Scholar ›
[15]
[15] [학술지(정기간행물)] 김은석/인슈어테크 디지털 보험플랫폼서비스의 사용자 수용의도에 관한 연구/경영학연구/2019/48(4)/997~1043/한국경영학회/10.17287/kmr.2019.48.4.997 Google Scholar ›
[16]
[16] [보고서] Voice spam, business operator transmission volume increases, user reception decreases/Korea Communications Commission/Korea Communications Commission/2019/~/ Google Scholar ›
[17]
[17] [학술지(정기간행물)] 이현영/워드 임베딩과 딥러닝 기법을 이용한 SMS 문자 메시지필터링/스마트미디어저널/2018/7(4)/24~29/(사)한국스마트미디어학회/http://dx.doi.org/10.30693/SMJ.2018.7.4.24 Google Scholar ›
[18]
[18] [학술지(정기간행물)] 이승재/사용자 맞춤형 스팸 문자 필터링 시스템/한국콘텐츠학회 논문지/2011/11(12)/122~135/한국콘텐츠학회/ Google Scholar ›
[19]
[19] [학술지(정기간행물)] 이시영/안드로이드 플랫폼 환경에서의 스미싱 차단에 관한 연구/정보보호학회논문지/2014/24(5)/975~985/한국정보보호학회/http://dx.doi.org/10.13089/JKIISC.2014.24.5.975 Google Scholar ›
[20]
[20] [학술대회논문] Ng, A. Y./Feature selection, L1 vs. L2 regularization, and rotational invariance/Proceedings of the twenty-first international conference on Machine learning/2004//~/ Google Scholar ›
[21]
[21] [학술지(정기간행물)] Oh, J. H./Oversampling method using outlier detectable generative adversarial network/Expert Systems with Applications/2019/133/1~8// Google Scholar ›
[22]
[22] [학술대회논문] Osho, O./Frameworks for mitigating identity theft and spamming through bulk messaging/2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST)/2014//1~6/ Google Scholar ›
[23]
[23] [학술지(정기간행물)] 박인우/스마트폰에서 Smishing 해킹 공격과 침해사고 보안 연구/한국정보통신학회논문지/2013/17(11)/2588~2594/한국정보통신학회/http://dx.doi.org/10.6109/jkiice.2013.17.11.2588 Google Scholar ›
[24]
[24] [학술대회논문] Prusa, J./Using random undersampling to alleviate class imbalance on tweet sentiment data/2015 IEEE International Conference on Information Reuse and Integration/2015//197~202/ Google Scholar ›
[25]
[25] [학술지(정기간행물)] Roy, P. K./Deep learning to filter SMS spam/Future Generation Computer Systems/2020/102/524~533// Google Scholar ›
[26]
[26] [학술대회논문] Sethi, P./SMS spam detection and comparison of various machine learning algorithms/2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN)/2017//28~31/ Google Scholar ›
[27]
[27] [학술지(정기간행물)] Wang, C./A behavior-based SMS antispam system/IBM Journal of Research and Development/2010/54(6)/1~16// Google Scholar ›
[28]
[28] [학술지(정기간행물)] White, H./A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity/Econometrica : Journal of the Econometric Society/1980/48(4)/817~838// Google Scholar ›
[29]
[29] [학술지(정기간행물)] 연보흠/고객 중심의 스마트폰 선탑재 앱 구성방안에 관한 연구/방송공학회 논문지/2019/24(1)/105~117/한국방송∙미디어공학회/https://doi.org/10.5909/JBE.2019.24.1.105 Google Scholar ›

Publication History

발행일 2021-01-01

Metrics

인용수 0

스팸 필터링 앱 사용자의 이탈 요인 연구: 이탈자와 지속 사용자 비교 및 앱 로그 빅데이터 분석을 중심으로