• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.203-209
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• 2014

Today, Distributed denial of service (DDoS) attack present a very serious threat to the stability of the internet. The DDoS attack, which is consuming all of the computing or communication resources necessary for the service, is known very difficult to protect. The DDoS attack usually transmits heavy traffic data to networks or servers and they cannot handle the normal service requests because of running out of resources. It is very hard to prevent the DDoS attack. Therefore, an intrusion detection system on large network is need to efficient real-time detection. In this paper, we propose the detection mechanism using analysis of flow information against DDoS attacks in order to guarantee the transmission of normal traffic and prevent the flood of abnormal traffic. The OPNET simulation results show that our ideas can provide enough services in DDoS attack.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.3
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• pp.31-38
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• 2010

It has become more difficult to correspond an cyber attack quickly as patterns of attack become various and complex. However, current security mechanisms just have passive defense functionalities. In this paper, we propose new network security architecture to respond various cyber attacks rapidly and to chase and isolate the attackers through cooperation between security zones. The proposed architecture makes it possible to deal effectively with cyber attacks such as IP spoofing or DDoS(Distributed Denial of Service), by using active packet technology including a mobile code on active network. Also, it is designed to have more active correspondent than that of existing mechanisms. We implemented these mechanisms in Linux routers and experimented on a testbed to verify realization possibility of attacker response framework using mobile code. The experimentation results are analyzed.

• Journal of Convergence Society for SMB
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• v.4 no.3
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• pp.1-6
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• 2014

DDoS (Distributed Denial Service, Distributed Service) attacks are being generated for a constant threat on the Internet, countermeasures for this have been proposed. However, the problem has become an increasingly effective instruction in any Measures are a variety of attacks and sophisticated attacks. Attackers can change a steady attack tools to respond to these, the experts as a countermeasure to this constantly research for a fresh attack. This paper is to introduce countermeasures to DDoS recent representative examples of 7.7DDoS and look for 3.3DDoS existing types of DDoS attacks increased PPS attacks, high traffic sent, web service delay and router and firewall settings, applications and to describe the DDoS countermeasures research by certification, is so that you can plan effectively for the future DDoS attacks proposed method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.11-24
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• 2012

Without a proper protection mechanism for the signaling messages to be used for the mobility support in the Proxy Mobile IPv6 (PMIPv6), it is also vulnerable to several security attacks such as redirect attack, MITM (Man-In-The-Middle) attack, replay attack and DoS (Denial of Service) attack as in Mobile IPv6. In this paper, we point out some problems of previous authentication mechanisms associated with PMIPv6, and also propose a new fast and secure authentication mechanism applicable to PMIPv6. In addition, it is also shown that the proposed one is more efficient and secure than the previous ones.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.629-630
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• 2009

센서 네트워크에 대한 보안은 일반 네트워크와 동일하게 보안성, 무결성, 가용성 등이 요구된다. 그러나 일반적으로 센서 네트워크는 무선 통신을 하는 네트워크이고, 고정된 인프라가 없으며, 네트워크 토폴로지가 자주 변하는 특징으로 인해 보안문제는 어려운 것으로 인식되고 있다. 특히, 센서 노드의 에너지와 같은 자원 고갈을 유발하여 정상적인 동작을 못하게 하는 서비스 거부(Denial of Service, DoS)와 같은 공격에 취약하다. 본 논문에서는 센서 네트워크의 구성을 분석하고, 이를 바탕으로 발생할 수 있는 DoS 공격 유형을 분석한다.

• Journal of Korea Multimedia Society
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• v.8 no.12
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• pp.1638-1648
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• 2005

The SEM approach to PKl offers several advantages, such as immediate revocation of users' signing ability without CRLs and compatibility with the standard RSA. However, it has a weakness against denial of service attack caused by breaking down or being compromised. G. Vanrenen et al. proposed a distributed SEM approach to overcome the weaknesses. However, it does not provide the desirable properties such as instant availability and immunity against denial of service attack, due to inadequate usage of threshold cryptography and proactive secret sharing. In this paper, we point out its structural contradictions and propose a modified version of distributed SEM approach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.108-110
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• 2021

Since 2015, attacks using the IoT protocol have been continuously reported. Among various IoT protocols, attackers attempt DDoS attacks using SSDP(Simple Service Discovery Protocol), and as statistics of cyber shelters, Korea has about 1 million open SSDP servers. Vulnerable SSDP servers connected to the Internet can generate more than 50Gb of traffic and the risk of attack increases gradually. Until recently, distributed denial of service attacks and distributed reflective denial of service attacks have been a security issue. Accordingly, the purpose of this study is to analyze the request packet of the existing SSDP protocol to identify an amplification attack and to avoid a response when an amplification attack is suspected, thereby preventing network load due to the occurrence of a large number of response packets due to the role of traffic reflection amplification.

• KNOM Review
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• v.23 no.1
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• pp.10-17
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• 2020

As the threat of Distributed Denial-of-Service attacks that exploit weakly secure IoT devices has spread, research on source-side Denial-of-Service attack detection is being activated to quickly detect the attack and the location of attacker. In addition, a collaborative source-side attack detection technique that shares detection results of source-side networks located at individual sites is also being activated to overcome regional limitations of source-side detection. In this paper, we evaluate the performance of a collaborative source-side DDoS attack detection using statistical weights. The statistical weight is calculated based on the detection rate and false positive rate corresponding to the time zone of the individual source-side network. By calculating weighted sum of the source-side DoS attack detection results from various sites, the proposed method determines whether a DDoS attack happens. As a result of the experiment based on actual DNS request to traffic, it was confirmed that the proposed technique reduces false positive rate 2% while maintaining a high attack detection rate.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.147-153
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• 2015

Since the DoS(Denial of Service) attack is still an important vulnerable element in many web service sites, sites including public institution should try their best in constructing defensive systems. Recently, DDoS(Distributed Denial of Service) has been raised by prompting mass network traffic that uses NTP's monlist function or DoS attack has been made related to the DNS infrastructure which is impossible for direct defense. For instance, in June 2013, there has been an outbreak of an infringement accident where Computing and Information Agency was the target. There was a DNS application DoS attack which made the public institution's Information System impossible to run its normal services. Like this, since there is a high possibility in having an extensive damage due to the characteristics of DDoS in attacking unspecific information service and not being limited to a particular information system, efforts have to be made in order to minimize cyber threats. This thesis proposes a method for using TTL (Time To Live) value in IP header to detect DDoS attack with IP spoofing, which occurs when data is transmitted under the agreed regulation between the international and domestic information system.

• Journal of IKEEE
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• v.26 no.4
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• pp.614-621
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• 2022

This paper proposes RIDS (Random Forest-Based Intrusion Detection), which is an intrusion detection system to detect hacking attack based on random forest. RIDS detects three typical attacks i.e. DoS (Denial of service) attack, fuzzing attack, and spoofing attack. It detects hacking attack based on four parameters, i.e. time interval between data frames, its deviation, Hamming distance between payloads, and its diviation. RIDS was designed in memory-centric architecture and node information is stored in memories. It was designed in scalable architecture where DoS attack, fuzzing attack, and spoofing attack can be all detected by adjusting number and depth of trees. Simulation results show that RIDS has 0.9835 accuracy and 0.9545 F1 score and it can detect three attack types effectively.