• Journal of the Korea Society for Simulation
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• v.17 no.3
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• pp.9-18
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• 2008

Unlike conventional researches, we are able to i) compare the fuzzy logic based BBA with non-fuzzy BBA for verifying the effective performance of the proposed fuzzy logic application ii) dynamically respond to the intrusion using BBA whereas the previous IDS was responding statically and iii) expect that this would be a cornerstone for more practical application researches (analyzing vulnerability and examining countermeasures, etc.) of security simulation. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies fuzzy logic to reduce the false negative that is one of the main problems of IDS. Intrusion detection is complicated decision-making process, which generally involves enormous factors about the monitored system. Fuzzy evaluation component model, which is a decision agent in the distributed IDS, can consider various factors based on fuzzy logic when an intrusion behavior is detected. The performance obtained from the coordination of intrusion detection agent with fuzzy logic is compared against the corresponding non fuzzy type intrusion detection agent. The results of these comparisons allow us to evaluate a relevant improvement on the fuzzy logic based BBA.

• The KIPS Transactions:PartC
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• v.12C no.6 s.102
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• pp.827-838
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• 2005

DDoS (Distributed Denial of Service) attack is a critical threat to current Internet. To solve the detection and response of DDoS attack on BcN, we have investigated detection algorithms of DDoS and Implemented anomaly detection modules. Recently too many technologies of the detection and prevention have developed, but it is difficult that the IDS distinguishes normal traffic from the DDoS attack Therefore, when the DDoS attack is detected by the IDS, the firewall just discards all over-bounded traffic for a victim or absolutely decreases the threshold of the router. That is just only a method for preventing the DDoS attack. This paper proposed the mechanism of response for the legitimated clients to be protected Then, we have designed and implemented the statistic based system that has the automated detection and response functionality against DDoS on Linux Zebra router environment.

• Review of KIISC
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• v.24 no.1
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• pp.65-74
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• 2014

최근 네트워크 시장의 큰 화두가 되고있는 SDN(Software-Defined Network)은 OpenFlow를 활용한 차세대 네트워크 기술로 각광받고 있다. 아직까지의 SDN은 초기단계에 이르고 있으나 현재의 네트워크 산업이 가지는 한계점을 근본적으로 변화시킬 수 있는 기술로 상당한 잠재력이 내재되어 있다. 특히 SDN 기술을 보안 측면에서 이용하게 되면, 기존의 IDS/IPS 제품의 대응 범위를 게이트웨이에서 엔드 포인트까지의 인프라 전반으로 확장시킬 수 있다. 또한 유연한 트래픽 경로 재설정을 통한 DoS나 DDoS 공격에도 효과적으로 대비할 수 있다. 이에 따라 OpenFlow 및 SDN의 기술 분석과 보안 측면에서의 이용 가능성에 대해 기술하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.250-252
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• 2004

네트워크 침입 탐지와 방어를 위한 연구는 실제 네트워크 환경을 구성하고, 실제 네트워크 침입을 통해 네트워크 침입 탐지와 방어 기법을 연구하는 것이 가장 좋은 방법이다. 하지만, 실제 네트워크 환경에서 대규모 네트워크를 구성하고 네트워크 침입을 시도하여, 침입이 네트워크에 미치는 영향과 침입을 탐지하고 방어하는 방법은 많은 시간과 비용이 필요하게 된다. 그 대안으로 제안하는 시뮬레이션을 통한 연구는 시간과 비용은 줄이면서, 실제와 근사한 결과를 얻을 수 있다. 본 논문에서 제안하는 시뮬레이션 프레임웍은 대규모 네트워크 환경을 구성하고, 구성한 네트워크 환경 위에서 특정한 호스트로 네트워크 침입을 시도할 때, 네트워크 침입을 탐지 및 방어하기 위한 적절한 방법을 연구하기 위한 프레임웍으로, 특정한 공격의 목표가 된 호스트상에 IDS(Intrusion Detection System)나 Firewall을 설치하고, 시뮬레이션의 진행 중 실험자가 원하는 시간에 공격을 잠시 중단시키고. 방어나 침입 탐지를 위한 IDS나 방화벽의 룰셋을 변경해 주는 방법을 통해 네트워크 침입 탐지 및 방어에 관한 유효 적절한 방법을 실험 할 수 있게 해 준다. 본 시뮬레이션 프레임웍을 사용하여, 이후 좀 더 다양한 네트워크 침입 구현을 통해 다양한 침입 행동에 대한 적절한 침입탐지 및 방어 기법에 관한 연구에 많은 도움이 될 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.39-46
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• 2011

This study is conducted to examine the optimal integrated security policy based on network in case of attacks by implementing unique security policies of various network security equipments as an algorithm within one system. To this end, the policies conduct the experiment to implement the optimal security system through the process of mutually integrating the unique defense policy of Firewall, VPN(Virtual Private Network), IDS(Intrusion Detection System), and IPS(Intrusion Prevention System). In addition, this study is meaningful in that it designs integrated mechanism for rapid detection of system load caused by establishment of the security policy and rapid and efficient defense and secures basic network infrastructure implementation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.385-395
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• 2018

With the development of Internet, cyber attack has become a major threat. To detect cyber attacks, intrusion detection system(IDS) has been widely deployed. But IDS has a critical weakness which is that it generates a large number of false alarms. One of the promising techniques that reduce the false alarms in real time is machine learning. However, there are problems that must be solved to use machine learning. So, many machine learning approaches have been applied to this field. But so far, researchers have not focused on features. Despite the features of IDS alerts are important for performance of model, the approach to feature is ignored. In this paper, we propose new feature set which can improve the performance of model and can be extracted from a single alarm. New features are motivated from security analyst's know-how. We trained and tested the proposed model applied new feature set with real IDS alerts. Experimental results indicate the proposed model can achieve better accuracy and false positive rate than SVM model with ordinary features.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1197-1213
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• 2014

Due to the increase in size of the computer network, the network security systems such as a firewall, IDS, IPS generate much more vast amount of information related to network security. So detecting signs of hidden security threats has become more difficult. Security personnels' 'Network Security Situational Awareness(NSSA)' is effectively determining the security situation of overall computer network on the basis of the relation between the security events that occur in the several views. The process of situational awareness is divided into three stages of the 'identification,' 'understanding' and 'prediction'. And 'identification' and 'understanding' are prerequisites for 'predicting' and the following appropriate responses. But 'identification' and 'understanding' in the vast amount of information became more difficult. In this paper, we propose Honeycomb security situational awareness visualization system that is designed to help NSSA in large-scale networks by using visualization techniques known effective to the 'identification' and 'understanding' stages. And we identified the empirical effects of this system on the basis of the 'VAST Challenge 2012' data.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.763-765
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• 2001

전통적인 네트워크기반 침입탐지시스템은 네트워크에 흐르는 모든 패킷을 수집하여 이를 가공, 분석, 보고하는 과정을 거친다. 하자만, 네트워크에서 과도한 트래픽의 발생이나 침입탐지시스템에 대한 의도적인 Dos(Denical of Service) 공격은 침입탐지시스템이 침입으로 간주될 수 있는 패킷을 처리하지 못하도록 함으로써 불법적인 접근을 얻어낼 수 있는 방법이 된다. 본 논문에서는 자체 개발한 내장형 리눅스 기반의 라우터에서 패킷의 필터링 작업을 수행함으로써 일차적으로 내부 네트워크와 네트워크 센서로의 트래픽을 줄이고, 이차적으로 정책기반 라우팅을 이용하여 네트워크 센서에게 직접 라우팅 하도록 함으로써 네트워크센서가 모든 트래픽을 수집하지 않고, 침입을 방지하고자 하는 정책에 기반하여 보내지는 패킷만을 수집, 분석 토록 함으로써 네트워크 센서에 집중되는 부하를 최소화하는 시스템의 구성을 제안한다.

• Journal of the Korea Computer Industry Society
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• v.5 no.4
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• pp.427-434
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• 2004

Attacks such as hacking, a virus intimidating a system and a network are increasing recently. However, the existing system security or network management system(NMS) cannot be safe on various threats. Therefore, Firewall, IDS, VPN, LAS(Log Analysis System) establishes security system and has defended a system and a network against a threat. But mutual linkage between security systems was short and cannot prepare an effective correspondence system, and inefficiency was indicated with duplication of security. Therefore, an active security and an Enterprise Security Management came to need. An effective security network was established recently by Enterprise Security Management, Intrusion Tracking, Intrustion Induction. But an internetworking is hard for an enterprise security systems, and a correspondence method cannot be systematic, and it is responded later. Therefore, we proposes the active enterprise security management module that can manage a network safely in this paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.824-831
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• 2005

Past corporaion's network security system is single security solution, or mixed several ways, but there was inefficient system because doing not get into organic link But, constructed more strong security system by ESM enterance on. ESM uses way to integrate of each agent to manage easily various kinds security solution. That is, it is system that connect system of existent VPN, FireWall, IDS and so on configurationally depending on security policy and manage. ESM is security system that is developed more than existent security system. But, practical use of network and the development speed of technology being increasing with the mon faster speed, is heightening the level more as well as dysfunction of information crime and so on. Many improvements are required at ESM system, this research wished to make up for the weak-point in the ESM system about interior security. Studied on structure of security solution that is basis of security policy. VPN, Firewall, IDS's link that is main composition of existing security system analysis, reconstructed. And supplemented security of ESM system itself. Establish imaginary intrusion and comparative analysis access data that apply each Telnet Log analysys IDS existent ESM system and proposed ESM system comparative analysis. Confirm the importance of interior security and inspected security of proposed system.