서지주요정보
RFM 분석 방법론을 통한 지능적인 서버기반 침입탐지 시스템 = Host based Intelligent IDS with RFM analysis methodology
서명 / 저자 RFM 분석 방법론을 통한 지능적인 서버기반 침입탐지 시스템 = Host based Intelligent IDS with RFM analysis methodology / 김휘강.
발행사항 [대전 : 한국과학기술원, 2000].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8011005

소장위치/청구기호

학술문화관(문화관) 보존서고

MIE 00007

휴대폰 전송

도서상태

이용가능(대출불가)

사유안내

반납예정일

등록번호

9006489

소장위치/청구기호

서울 학위논문 서가

MIE 00007 c. 2

휴대폰 전송

도서상태

이용가능(대출불가)

사유안내

반납예정일

리뷰정보

초록정보

Many of computing environments are going to be networked, so security problem goes to be buzzwords. Nowadays EC (Electronic Commerce) like Cyber trading, Cyber banking is coming out and spread widely, but this mechanism without security enhancement can be compromised by malicious hacker via several hacking methods as known as data sniffing, man-in-middle attack. There is several methods to protect private data or important business data from hackers. At the view of system security, building a firewall and network -based intrusion detection system, applying ACL to router can enhance network security. And applying security patches or building host-based Intrusion detection system can be a method of enhancing system security. At the view of data security, encrypting transmit data can block data sniffing and secure data integrity. These methods can be used for misuse detection but still have a weakness to detect anomaly. Also, these methods can only block unauthorized outside hacker. In this paper, I will suggest a methodology for improving intrusion detection system for anomaly detection and implement new anomaly detection module.

서지기타정보

서지기타정보
청구기호 {MIE 00007
형태사항 v, 53 p. : 삽화 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Huy-Kang Kim
지도교수의 한글표기 : 박상찬
지도교수의 영문표기 : Sang-Chan Park
학위논문 학위논문(석사) - 한국과학기술원 : 산업공학과,
서지주기 참고문헌 : p. 52-53
QR CODE

책소개

전체보기

목차

전체보기

이 주제의 인기대출도서