연구동향 분석

MongoDB 기반의 분산 침입탐지시스템 성능 평가

한효준 김혁호 김양우 2019년

논문상세정보
인용/피인용
' MongoDB 기반의 분산 침입탐지시스템 성능 평가' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Cloud Computing
  • Distributed Processing
  • Intrusion Dectection System
  • big-data
  • mongodb
  • 분산 처리
  • 빅데이터
  • 침입탐지시스템
  • 클라우드컴퓨팅
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
4,620 0

0.0%

' MongoDB 기반의 분산 침입탐지시스템 성능 평가' 의 참고문헌

  • Toward Developing a Systematic Approach to Generate Benchmark Datasets for Intrusion Detection
    Ali Shiravi [2012]
  • Snort : IDS and IPS Toolkit
    J. Beale [2007]
  • Relational Database Theory
    ATEZENI [1993]
  • OpenStack
  • NoSQL-Based Distributed Processing System for Processing BigData Security Event
    H. J. Han [2017]
  • Mongodb : The Definitive Guide :Powerful and Scalable Data Storage
  • MongoDB
  • MariaDB Spider Storage Engine
  • MARIADB
  • IoT 2020 : Smart and Secure IoT Platform
    [2016]
  • Intrusion Detection Systems With Snort: Advance IDS Techniques Using Snort, Apache, MySQL, PHP, and ACID
    Rehman [2003]
  • Host-based Misuse Intrusion Detection using PCA Feature Extraction and kNN Classification Algorithms
    G. Serpen [2018]
  • Completion of IDS and Security Control by Big Data Analysis
    M. H. Kang [2013]
  • Cloud Computing Survey
    G. Lu [2014]
  • Big Data : A Survey
    M. Chen [2014]
  • Anomalybased Intrusion Detection System Through Feature Selection Analysis and Building Hybrid Efficient Model
  • Analysis and Understanding of Cloud Computing
    Y. W. Kim [2015]
  • Above the Clouds : A Berkeley View of Cloud Computing