• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.307-313
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• 1999

This paper reviews and assesses the analogy between the human immune system and network intrusion detection systems. The promising results from a growing number of proposed computer immune models for intrusion detection motivate this work. The paper begins by briefly introducing existing intrusion detection systems (IDS's). A set of general requirements for network-based IDS's and the design goals to satisfy these requirements are identified by a careful examination of the literature. An overview of the human immune system is presented and its salient features that can contribute to the design of competent network-based IDS's are analysed. The analysis shows that the coordinated actions of several sophisticated mechanisms of the human immune system satisfy all the identified design goals. Consequently, the paper concludes that the design of a novel network-based IDS based on the human immune system is promising for future network-based IDS's

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.307-313
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• 1999

This paper reviews and assesses the analogy between the human immune system and network intrusion detection systems. The promising results from a growing number of proposed computer immune models for intrusion detection motivate this work. The paper begins by briefly introducing existing intrusion detection systems (IDS's). A set of general requirements for network-based IDS's and the design goals to satisfy these requirements are identified by a careful examination of the literature. An overview of the human immune system is presented and its salient features that can contribute to the design of competent network-based IDS's are analysed. The analysis shows that the coordinated actions of several sophisticated mechanisms of the human immune system satisfy all the identified design goals. Consequently, the paper concludes that the design of a network-based IDS based on the human immune system is promising for future network-based IDS's

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1417-1420
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• 2008

본 연구에서는 서비스를 제공하는 각 서버들을 위협에서 보호하고 통합적으로 관리하기 위해 내장 IDS기반의 통합 보안관리 시스템을 개발하였다. IDS 서버를 외부망과 단절시킴으로써 IDS 서버에 대한 위협 자체를 원천적으로 차단하였고, 관리 대상 서버들에 에이전트를 탑재하여 탑재된 에이전트가 서버의 시스템 자원 및 네트워크 트래픽, 위협이 되는 패킷들의 자세한 정보를 수집, 분석하여 관리서버로 전송한다. 관리 프로그램은 비동기식의 X-Internet기술을 도입한 Adobe Flex를 사용한 웹 어플리케이션으로 개발하여 어떤 플랫폼에서도 접속하여 관리자의 역할을 수행할 수 있도록 하였다. 이와 같은 관리 프로그램을 통하여 대상 서버들의 시스템 자원 및 네트워크 트래픽들을 효율적으로 파악할 수 있고 IDS에서 탐지한 위협을 탐지 및 차단이 가능하도록 구현하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.203-206
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• 2003

네트워크 상에서 송수신되는 데이터를 외부의 침입으로부터 보호하는 것은 매우 중요하며, 그 중 데이터의 무결성을 검증하고 보장하기 위한 방법으로 SSL(Secure Socket Layer)을 사용한다. 본 논문에서는 클라이언트와 서버간에 송수신되는 데이터의 무결성이 위배되었을 경우 그 정보를 검증 및 관리할 수 있도록 OpenSSL을 이용한 무결성 위배 데이터 검증 및 관리 시스템을 구성하고, 검증된 데이터를 IDS(Intrusion Detection System)로 전송하여 침입 탐지 정보와 무결성 검증 정보를 통합적으로 관리할 수 있는 IDS 통합 시스템을 제안 및 설계하였다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.12a
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• pp.153-159
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• 2003

수많은 정보자산들이 네트워크를 통해 연결된 환경에서 사이버 공격으로부터 정보자산들을 효과적으로 방어하기 위한 기본적인 수단으로 네트워크 침입탐지 시스템과 취약점 분석 시스템이 활용되고 있다. 그러나 네트워크 보안을 위해 개별적으로 운용되고 있는 네트워크 침입탐지 시스템과 취약점 분석 시스템이 보안관리 측면에서 오히려 보안 운용자의 부담을 가중시키는 요인으로 작용하고 있는 것이 현실이다. 따라서, 본 연구에서는 네트워크 보안 관리에 필수적인 정보 요소인 네트워크 자산, 취약점 및 위협이 갖는 의미와 상관성을 분석하고, 네트워크 침입탐지 시스템과 취약점 분석 시스템이 제공하는 정보들을 상호 연동하여 네트워크 침입탐지 시스템이 탐지하는 불필요한 경보정보의 양을 대폭 줄여 Log관리를 최적화할 수 있는 시스템을 구축하기 위한 설계방법을 제시하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.658-661
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• 2008

As network security is coming up with significant problem after the major Internet sites were hacked nowadays, IDS(Intrusion Detection System) is considered as a next generation security solution for more trusted network and system security. We propose the new IDS model which can detect intrusion in the expanded distribute environment in host level, drawback of existing IDS, and implement prototype. We used pattern extraction agent so that we extract automatically audit file needed in intrusion detection even in other platforms.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.5
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• pp.117-124
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• 2000

As network security is coming up with significant problem after the major Internet sites were hacked nowadays, IDS (Intrusion Detection System) is considered as a next generation security solution for more trusted network and system security We propose the new IDS model which can detect intrusion in the expanded distribute environment in host level, drawback of existing IDS, and implement prototype. We used pattern extraction agent so that we extract automatically audit file needed in intrusion detection even in other Platforms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.2
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• pp.277-284
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• 2016

Various network attacks such as DDoS(Distributed Denial of service) and orm are one of the biggest problems in the modern society. These attacks reduce the quality of internet service and caused the cyber crime. To solve the above problem, signature based IDS(Intrusion Detection System) has been developed by network vendors. It has a high detection rate by using database of previous attack signatures or known malicious traffic pattern. However, signature based IDS have the fatal weakness that the new types of attacks can not be detected. The reason is signature depend on previous attack signatures. In this paper, we propose a k-means clustering based malicious traffic detection method to complement the problem of signature IDS. In order to demonstrate efficiency of the proposed method, we apply the bayesian theorem.

• Convergence Security Journal
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• v.8 no.4
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• pp.31-40
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• 2008

Recently, network forensic research which analyzes intrusion-related information for tracing of attackers, has been becoming more popular than disk forensic which analyzes remaining evidences in a system. Analysis and correlation of logs from firewall, IDS(Intrusion Detect System) and web server are important part in network forensic procedures. This work suggests integrated graphical user interface of network forensic for private information leakage detection. This paper shows the necessity of various log information for network forensic and a design of graphical user interface for security managers who need to monitor the leakage of private information.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.5
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• pp.495-503
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• 2014

In recent days, a study of the intrusion detection system collecting and analyzing network data, packet or logs, has been actively performed to response the network threats in computer security fields. In particular, Bayesian network has advantage of the inference functionality which can infer with only some of provided data, so studies of the intrusion system based on Bayesian network have been conducted in the prior. However, there were some limitations to calculate high detection performance because it didn't consider the problems as like complexity of the relation among network packets or continuos input data processing. Therefore, in this paper we proposed two methodologies based on K-menas clustering to improve detection rate by reforming the problems of prior models. At first, it can be improved by sophisticatedly setting interval range of nodes based on K-means clustering. And for the second, it can be improved by calculating robust CPT through applying weighted-leaning based on K-means clustering, too. We conducted the experiments to prove performance of our proposed methodologies by comparing K_WTAN_EM applied to proposed two methodologies with prior models. As the results of experiment, the detection rate of proposed model is higher about 7.78% than existing NBN(Naive Bayesian Network) IDS model, and is higher about 5.24% than TAN(Tree Augmented Bayesian Network) IDS mode and then we could prove excellence our proposing ideas.