• Journal of Digital Contents Society
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• v.11 no.1
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• pp.79-89
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• 2010

The government and companies build a DDoS correspondence system hastily to protect assets from cyber threats. It has become more and more intelligent and advanced such as DDoS attack. However, when outbreaks of the social incidents such as 7.7 DDoS attack(2009.7.7) or cases of the direct damage occurred, information security systems(ISS) only become the issue in the short term. As usual, sustained investment about ISS is a negative recognition. Since the characteristic of ISS is hard to recognize the effectiveness of them before incidents occurs. Also, results of incidents occurred classify attack and detection. Detailed and objective measurement criterion to measure effectiveness and efficiency of ISS is not existed. Recently, it is progress that evaluation and certification about for the information security management system(ISMS). Since these works propose only a general guideline, it is difficult to utilize as a result of ISMS improvement for organization. Therefore, this paper proposes a framework to develop main criteria by a correspondence strategy and process. It is able to detailed and objective measurements.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.223-226
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• 2003

The best way in order to protect the system resource front Distributed Denial of Service(DDoS) attack is cut off the source of DDoS attack with path retracing the packet which transferred by attacker. Packet marking method can not use ICMP cause by using IP identifier field as marking field. And in case of increasing the number of router, retracing method using router ID has the size of marking field's increasing problem. In this paper, we propose that retracing method can be available the ICMP using marking field for option field in IP header and the size of making Held do not change even though the number of router is increased using the mark information which value obtained through XOR operation on IP address.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.2041-2044
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• 2003

네트워크에서 발생하는 다양한 침입 중에서 서비스거부공격(DoS Attack. Denial-of-Service Attack)이란 공격자가 침입대상 시스템의 시스템 자원과 네트워크 자원을 악의적인 목적으로 소모시키기 위하여 대량의 패킷을 보냄으로써 정상 사용자로 하여금 시스템이 제공하는 서비스를 이용하지 못하도록 하는 공격을 의미한다. 기존 연구에서는 시스템과 네트워크가 수신한 패킷을 분석한 후 네트워크 세션정보를 생성하여 DoS 공격을 탐지하였다. 그러나 이 기법은 공격자가 분산서비스거부공격(DDoS Attack: Distributed DoS Attack)을 하게 되면 분산된 세션정보가 생성되기 때문에 침입을 실시간으로 탐지하기에는 부적절하다. 본 논문에서는 시스템이 가지고 있는 자윈 중에서 DDoS 공격을 밭을 때 가장 민감하게 반응하는 시스템 자원을 모니터링 함으로써 DDoS 공격을 실시간으로 탐지할 수 있는 모델을 제안한다 제안 모델은 시스템이 네트워크에서 수신한 패킷을 처리하는 과정에서 소모되는 커널 메모리 소비량을 감사자료로 이용한 네트워치기반 비정상행위탐지(networked-based anomaly detection)모델이다.

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.678-688
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• 2013

Different Different from a single attack, in DDoS Attacks, the botnets that are distributed on network initiate attacks against the target server simultaneously. In such cases, it is difficult to take an action while denying the access of packets that are regarded as DDoS since normal user's convenience should also be considered at the target server. Taking these considerations into account, the DDoS botnet detection system that can reduce the strain on the target server by detecting DDoS attacks on each user network basis, and then lets the network administrator to take actions that reduce overall scale of botnets, has been implemented in this study. The DDoS botnet detection system proposed by this study implemented the program which detects attacks based on the database composed of faults and abnormalities collected through analyzation of hourly attack traffics. The presence of attack was then determined using the threshold of current traffic calculated with the standard deviation and the mean number of packets. By converting botnet-based detection method centering around the servers that become the targets of attacks to the network based detection, it was possible to contemplate aggressive defense concept against DDoS attacks. With such measure, the network administrator can cut large scale traffics of which could be referred as the differences between DDoS and DoS attacks, in advance mitigating the scale of botnets. Furthermore, we expect to have an effect that can considerably reduce the strain imposed on the target servers and the network loads of routers in WAN communications if the traffic attacks can be blocked beforehand in the network communications under the router equipment level.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.55-66
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• 2009

In this paper, I will discuss how the Internet has spread rapidly in our lives. Large portals and social networks experience service attacks that access personal customers' databases. This interferes with normal service through DDoS (Distribute Denial of Service Attack), which is the topic I want to discuss. Among the types of DDoS, TCP SYN Flooding attacks are rarely found because they use few traffics and its attacking type is regular transaction. The purpose of this study is to find and suggest the method for accurate detection of the attacks. Through the analysis of TCP SYN Flooding attacks, we find that these attacks cause Backscatter effect. This study is about the algorithm which detects the attacks of TCP SYN Flooding by the study of Backscatter effect.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.185-192
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• 2006

By mistaking normal packets for harmful traffic, it may not offer service according to the intention of attacker with harmful traffic, because it is not easy to classify network traffic for normal service and it for DUoS(Distributed DoS) attack like the Internet worm. And in the IPv6 environment these researches on harmful traffic are weak. In this dissertation, hosts in the IPv6 environment are attacked by NETWIB and their attack traffic is monitored, then the statistical information of the traffic is obtained from MIB(Management Information Base) objects used in the IPv6. By adapting the ESM(Exponential Smoothing Method) to this information, a normal traffic boundary, i.e., a threshold is determined. Input traffic over the threshold is thought of as attack traffic.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3671-3689
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• 2019

Software defined networking brings unique security risks such as control plane saturation attack while enhancing the performance of wireless sensor networks. The attack is a new type of distributed denial of service (DDoS) attack, which is easy to launch. However, it is difficult to detect and hard to defend. In response to this, the attack threat model is discussed firstly, and then a DDoS attack prevention extension, called FuzzyGuard, is proposed. In FuzzyGuard, a control network with both the protection of data flow and the convergence of attack flow is constructed in the data plane by using the idea of independent routing control flow. Then, the attack detection is implemented by fuzzy inference method to output the current security state of the network. Different probabilistic suppression modes are adopted subsequently to deal with the attack flow to cost-effectively reduce the impact of the attack on the network. The prototype is implemented on SDN-WISE and the simulation experiment is carried out. The evaluation results show that FuzzyGuard could effectively protect the normal forwarding of data flow in the attacked state and has a good defensive effect on the control plane saturation attack with lower resource requirements.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.8-19
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• 2010

In this paper, we propose the NCP (Network Control Platform)-based defense mechanism against DDoS (Distributed Denial of Service) attacks in order to guarantee the transmission of normal traffic and prevent the flood of abnormal traffic. We also define defense modules, the threshold and packet drop-rate used for the response against DDoS attacks. NCP analyzes whether DDoS attacks are occurred or not based on the flow and queue information collected from SR (Source Router) and VR (Victim Router). Attack packets are dopped according to drop rate decided from NCP. The performance is simulated using OPNET and evaluated in terms of the queue size of both SR and VR, the transmitted volumes of legitimate and attack packets at SR.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.310-312
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• 2004

분산 서비스 거부 공격(Distributed Denial of Service, DDoS attack)의 목적은 정상적인 사용자가 서비스를 이용하는 것을 거부하는 것이다. 특히 범람 서비스 거부 공격(flooding-based DDoS attack)은 아직까지 방어하기 어려운 공격 형태이다. 그 이유는 공격 시 정상적인 트래픽이 왕복하는 것처럼 보이므로 공격 트래픽과 정상 트래픽을 구별하기 어렵기 때문이다. 하지만, 범람 서비스 거부 공격의 특징을 잘 이용하면 공격을 방어할 수 있다. 범람 서비스 거부 공격의 특징은 단독의 공격 호스트로부터의 트래픽 양이 여러 개의 정상 호스트들로부터의 트래픽 양보다 훨씬 많다는 것이다. 이러한 특징을 이용하여 특정 호스트로부터의 트래픽 양이 많은지 아닌지에 따라 공격이 발생했는지 여부를 결정할 수 있다. 이 논문에서는 Pi(Path Identification) 라는 메커니즘을 이용한 분산 서비스 거부 공격의 방어 기법을 제안한다.

• 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.