연구동향 분석

대용량 악성코드의 특징 추출 가속화를 위한 분산 처리시스템 설계 및 구현

이현종 어성율 황두성 2019년

논문상세정보
인용/피인용
' 대용량 악성코드의 특징 추출 가속화를 위한 분산 처리시스템 설계 및 구현' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Feature Extraction
  • Machine Learning
  • Malware Detection
  • distributedprocessingsystem
  • 기계학습
  • 분산 처리 시스템
  • 악성코드탐지
  • 특징 추출
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,606 0

0.0%

' 대용량 악성코드의 특징 추출 가속화를 위한 분산 처리시스템 설계 및 구현' 의 참고문헌

  • Xgboost : A scalable tree boosting system
    T. Chen [2016]
  • VirusShare
  • VXHeaven
  • Radare2
  • Practical Malware Analysis
  • P-ETL: Parallel-ETL based on the MapReduce paradigm
    M. Bala [2014]
  • Opcode sequences as representation of executables for data-mining-based unknown malware detection
    I. Santos [2013]
  • Novel feature extraction, selection and fusion for effective malware family classification
    M. Ahmadi [2016]
  • Ninite
  • Microsoft Malware Classification Challenge
  • Malware.com
  • Malware obfuscation techniques: A brief survey
    I. You [2010]
  • Malware detection module using machine learning algorithms to assist in centralized security in enterprise networks
    P. Singhal [2012]
  • Machine Learning for Malware Detection
  • Lupo pensuite collections
  • Internet Security Threat Report
    Symantec [2018]
  • Intelligent Methods for Cyber Warfare, Intelligent Methods for Cyber Warfare
  • Hadoop: The Definitive Guide: Storage and Analysis at the Internet Scale
    T. White [2015]
  • Hadoop neural network for parallel and distributed feature selection
    V. Simon [2015]
  • Hadoop MapReduce
  • Feature Selection and Extraction for Malware Classification
    C. Lin [2015]
  • Cuckoo sandbox
  • Classification of malware based on integrated static and dynamic features
  • Classification and regression by randomForest
    A. Liaw [2002]
  • CWSandbox
  • An approach for detection and family classification of malware based on behavioral analysis
    SS. Hansen [2016]
  • A Survey of Visualization Systems for Malware Analysis
    M. Wagner [2015]