• Title/Summary/Keyword: Intrustion Detection

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A Study on Real-Time Web-Server Intrustion Detection using Web-Server Agent (웹 서버 전용 에이전트를 이용한 실시간 웹 서버 침입탐지에 관한 연구)

  • 진홍태;김동성;박종서
    • Proceedings of the Korea Information Assurance Society Conference
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    • 2004.05a
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    • pp.15-19
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    • 2004
  • 인터넷 사용이 보편화됨에 따라 기존의 방화벽만으로는 탐지가 불가능한 웹 서버의 취약점을 이용한 공격이 나날이 증가하고 있고, 그 중에서도 특히 웹 어플리케이션의 프로그래밍 오류를 이용한 침입이 공격 수단의 대부분을 차지하고 있다. 본 논문에서는 웹 어플리케이션의 취약점을 분석한 후 취약점 발생 부분에 대해 웹 서버 전용으로 로그 분석을 해 주는 실시간 에이전트를 도입하였다. 실시간 에이전트는 공격 패턴을 비교ㆍ분석한 후 프로세스 분석기를 통한 결정(decision) 과정을 통해 침입으로 판단되면 해당 접속 프로세스(pid)를 제거한 후 공격 아이피를 차단함으로서 침입을 탐지하는 모델을 제시한다.

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A Study on Tools for Worm Virus & DDoS Detection (대규모 백본망의 웜 바이러스와 분산서비스거부공격 탐지시스템 연구)

  • Lee Myung-Sun;Lee Jae-Kwang
    • The KIPS Transactions:PartC
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    • v.11C no.7 s.96
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    • pp.993-998
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    • 2004
  • As Worm Virus & DDoS attack appeares, the targets and damage of infringement accidents are extending from specific system or services to paralysis of the network itself. These attacks are expending very frequently and strongly, and ISP who will be used as the path of these attacks will face serious damages. But compare to Worm Virus & DDoS attack that generally occures in many Systems at one time with it's fast propagation velocity, network dimensional opposition is slow and disable to deal with the whole appearance for it is operated manually by the network manager. Therefore, this treatise present devices how to detect Worm Virus & DDoS attack's outbreak and the attacker(attacker IP adderss) automatically.

Design of Intrustion Prevention System(IPS) in Linux Environment (리눅스 환경에서의 침입방지시스템(IPS) 설계)

  • 이상훈;김우년;이도훈;박응기
    • Convergence Security Journal
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    • v.4 no.2
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    • pp.1-7
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    • 2004
  • The growth of incidents on the Internet has reflected growth of the internet itself and growth of the computing Power. while in Previous years, external attacks tended to originate from those interested trend in exploring the Internet for its own sake and testing their skills, there is an increasing trend towards intrusions motivated by financial, Political, and military objectives. so, attacks on the nation's computer infrastructures are becoming an increasingly serious problem. Even though the problem is ubiquitious, government agencies are particularly appealing targets and they tend to be more willing to reveal such events than commercial organizations. The threat of damage made necessity of security's recognition, as a result, many researches have been carried out into security of system actively. Intrusion Detection technology is detection of intrusion using audit data differently from using traditional simple filtering and informs manager of it. It has security manager of system deal with the intrusion more quickly. but, cause current environment of Internet manager can't doing response Intrusion alert immediately That's why IPS needed. IPS can response automatically the intrusion alert. so, manager is more comfortable and can response quickly.

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Intrusion Situation Classification Model for Intelligent Intrusion Awareness (지능적인 침입 인지를 위한 침입 상황 분류 모델)

  • Hwang, Yoon-Cheol;Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
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    • v.9 no.3
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    • pp.134-139
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    • 2019
  • As the development of modern society progresses rapidly, the technologies of society as a whole are progressing and becoming more advanced. Especially in the field of security, more sophisticated and intelligent attacks are being created. Meanwhile, damaging situations are becoming several times larger than before Therefore, it is necessary to re-classify and enhance the existing classification system. It is required to minimize the intrusion damage by actively responding to intelligent intrusions by applying this classification scheme to currently operating intrusion detection systems. In this paper, we analyze the intrusion type caused by intelligent attack We propose a new classification scheme for intrusion situations to guarantee the service safety, reliability, and availability of the target system, We use this classification model to lay the foundations for the design and implementation of a smart intrusion cognitive system capable of early detection of intrusion, the damages caused by intrusion, and more collections active response.