연구동향 분석

안드로이드 모바일 단말기를 위한 효율적인 악성앱 감지법

이혜림(Hye Lim Lee) 장수희(Soohee Jang) 윤지원(Ji Won Yoon) 2014년

논문상세정보
인용/피인용
' 안드로이드 모바일 단말기를 위한 효율적인 악성앱 감지법' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 전자공학
  • android security
  • knn-classification
  • malwaredetection
  • principal component analysis
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,539 0

0.0%

' 안드로이드 모바일 단말기를 위한 효율적인 악성앱 감지법' 의 참고문헌

  • NQ mobile 2012 security report
    [2012]
  • Mobile threat report q4 2012
    [2012]
  • Machine learning a probabilistic approach
    D. Barber [2006]
  • Incremental kNN classifier exploiting correct-error teacher for activity recognition
    K. Forter Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on. IEEE : 445 ~ 450 [2010]
  • Gartner Says Smartphone Sales Grew 46.5 Percent in Second Quarter of 2013and Exceeded Feature Phone Sales for First Time
    Gartner [2014]
  • Contagio mobile
  • Anubis: Analyzing unknown binaries
  • Android permissions demystified
    A. P. Felt Proceedings of the 18th ACM conference on Computer and communications security : 627 ~ 638 [2011]
  • Android developers
    Android
  • A system call-centric analysis and stimulation technique to automatically reconstruct android malware behaviors
    A. Reina EuroSec [2013]
  • A new android malware detection approach using bayesian classification
    S. Y. Yerima Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on. IEEE : 121 ~ 128 [2013]