• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.152-155
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• 2018

Over the past years, Link Flooding Attacks (LFAs) have been introduced as new network threats. LFAs are indirect DDoS attacks that selectively flood intermediate core links, while legacy DDoS attacks directly targets end points. Flooding bandwidth in the core links results in that a wide target area is affected by the attack. In the traditional network, mitigating LFAs is a challenge since an attacker can easily construct a link map that contains entire network topology via traceroute. Security researchers have proposed many solutions, however, they focused on reactive countermeasures that respond to LFAs when attacks occurred. We argue that this reactive approach is limited in that core links are already exposed to an attacker. In this paper, we present SDHoneyNet that prelocates vulnerable links by computing static and dynamic property on Software-defined Networks (SDN). SDHoneyNet deploys Honey Topology, which is obfuscated topology, on the nearby links. Using this approach, core links can be hidden from attacker's sight, which leads to effectively building proactive method for mitigating LFAs.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.8B
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• pp.797-804
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• 2009

Recently, SIP(Session Initiation Protocol) is used to set up and manage sessions for multimedia applications such as VoIP(Voice over IP) and IMS(IP Multimedia Subsystem). However, because SIP operates over the Internet, it is exposed to pre-existed internet security threats such as service degradation or service disruptions. Multimedia applications which are delay sensitive even suffers more from the threats mentioned above. The proposed methods so far to detect SIP INVITE flooding are CUSUM(Cumulative Sum), Hellinger distance and adaptive threshold, but among methods only take normal state into consideration. So, it is not capable of adapting the condition of the network congestion which are dynamically changing. In this paper, SIP INVITE flooding detection algorithm considering network congestion which enables efficient detections of such attacks is proposed. The proposed algorithm is expected to detect other types of attacks such as BYE and CANCEL more precisely compared to other methods.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.115-121
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• 2005

In the present internet environment, various traffic flooding attacks and worm attacks cause economical loss. If IPv4 is substituted by IPv6 because of the lack of IP address, it will be more serious. Therefore, we design and implement the traffic analysis tool which can detect attacks by expecting them encountered in the IPv6 environment. Proposed tool is composed of packet generation module, packet gathering module, discrimination module, and display module in X-windows. As a simulation result, it is proved that it can effectively detect DAD-NA message attack, TCP SYN flooding attack, UDP flooding attack and ICMP flooding attack in the IPv6 environment.

• Smart Media Journal
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• v.4 no.4
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• pp.24-32
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• 2015

Recently, SDN is actively used as datacenter networks and gradually increase its applied areas. Along with this change of networking environment, research of deploying network security systems on SDN becomes highlighted. Especially, systems for detecting network flooding attacks by monitoring every packets through ports of OpenFlow switches have been proposed. However, because of the centralized management of a SDN controller which manage multiple switches, it may be substantial overhead that the attack detection system continuously monitors all the flows. In this paper, a sampling based network flooding attack detection and prevention system is proposed to reduce the overhead of monitoring packets and to achieve reasonable functionality of attack detection and prevention. The proposed system periodically takes sample packets of network flows with the given sampling conditions, analyzes the sampled packets to detect network flooding attacks, and block the attack flows actively by managing the flow entries in OpenFlow switches. As network traffic sampler, sFlow agent is used, and snort, an opensource IDS, is used to detect network flooding attack from the sampled packets. For active prevention of the detected attacks, an OpenDaylight application is developed and applied. The proposed system is evaluated on the local testbed composed with multiple OVSes (Open Virtual Switch), and the performance and overhead of the proposed system under various sampling condition is analyzed.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.998-1002
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• 2009

In IPTV multicast architecture, the IGMP(Internet Group Management Protocol) is used for access networks. This protocol supports the functionality of join or leave for a specific multicast channel group. But, malicious attackers can disturb legitimate users being served appropriately. By using spoofed IGMP messages, attackers can hi-jack the premium channel, wasting bandwidth and exhausting the IGMP router's resources. To prevent the message spoofing, we can introduce the packet-level authentication methods. But, it causes the additional processing overhead to an IGMP processing router, so that the router is more susceptible to the flooding attacks. In this paper, we propose the two-level authentication scheme in order to mitigate the IGMP flooding attack.

• Review of KIISC
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• v.15 no.3
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• pp.69-75
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• 2005

특정 또는 불특정 네트워크를 공격 대상으로 하는 인터넷 웜, 분산서비스거부 공격 등의 출현과 가공할 파괴력으로 인해 네트워크에 대한 보안 요구가 점차 증가하고 있다. 침입탐지시스템 등의 네트워크 보안 솔루션은 네트워크 공격에 대한 감시 및 차단 등의 기능을 제공하며 기술적인 진화를 거듭하고 있지만, 근본적인 한계로써 국부 감시로 인한 불명확성과 오탐에 의한 보안경보$^{1)}$ 플러딩 등이 지적되고 있다. 특히 보안경보의 플러딩 현상은 네트워크 보안 상태를 정확하게 판단하는 것을 방해함으로써 조기경보체제의 구축을 어렵게 하는 요인이 되고 있다. 최근 이러한 부분을 극복하기 위해 보안경보 간의 상호 연관성 분석에 대한 연구가 활발해 지고 있다. 본 논문에서는 보안경보에 대한 연관성 분석 동향에 대해서 논의한다. 또한 보안경보의 집단화(aggregation)를 이용한 네트워크 공격 상황 분석방안에 대해서도 논의한다. 보안경보의 집단화를 이용한 공격 상황 분석은 엄청나게 발생하는 보안경보로부터 조기경보를 위한 공격 정보의 판별과 광역 네트워크상에서 이상 현상의 탐지를 가능하게 한다. 이와 더불어 현재 ETRI에서 개발 중에 있는 네트워크 공격 상황 분석기인 NASA(Network Attack Situation Analyzer)에 대해서도 간략히 소개한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.2
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• pp.119-129
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• 2011

TCP-related Flooding attacks still dominate Distributed Denial of Service Attack. It is a great challenge to accurately detect the TCP flood attack in hish speed network. In this paper, we propose the NIC_Cookie logic implementation, which is a kind of security offload engine against TCP-related DDoS attacks, on network interface card. NIC_Cookie has robustness against DDoS attack itself and it is independent on server OS and external network configuration. It supports not IP-based response method but packet-level response, therefore it can handle attacks of NAT-based user group. We evaluate that the latency time of NIC_Cookie logics is $7{\times}10^{-6}$ seconds and we show 2Gbps wire-speed performance through a benchmark test.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1112-1115
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• 2010

VoIP를 위한 개방형 규약 중 SIP는 IETF에서 정의한 시그널링 규약으로 IP 네트워크에서 음성, 영상의 호와 같은 멀티미디어 통신 세션을 제어하기 위해 널리 사용한다. 공격자는 SIP의 취약점을 이용한 전화번호 스캐닝, 사용자 암호를 알아내기 위한 사전공격, 콜 플러딩 공격을 통해 VoIP 서비스 정보를 절취하거나 이용을 방해 할 수 있다. 본 논문에서는 VoIP 환경의 SIP 스캐닝, 콜 플러딩, 그리고 무차별 대입 공격을 분석하고 대응방안을 제시한다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.31-34
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• 2002

인터넷 상에서 사이버 공격은 특정 서버에 대해 서비스 요청 패킷을 플러딩 시킴으로써 상용 서비스의 제공을 방해하는 패킷 형태의 공격과 특정 호스트에 연결 설정을 통해 침입함으로써 특정 정보의 획득이나 변경을 목적으로 하는 세션 설정 형태의 공격이 있다. 본 논문에서는 로컬 도메인 보호에 치우쳐 있는 현재의 네트워크 보안 메카니즘에 비해 공격자에 대해서 강력한 대응을 가능하게 하는 공격자의 공격 세션 추적 및 차단에 대한 액티브 네트워크 기반의 네트워크 보안 메카니즘에 대해 기술한다.

• Convergence Security Journal
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• v.13 no.4
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• pp.41-46
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• 2013

Routing protocol using in the existing wire network cannot be used as it is for efficient data transmission in MANET. Because it consists of only mobile nodes, network topology is changing dynamically. Therefore, each mobile node must perform router functions. Variety of routing attack like DoS in MANET is present owing to these characteristic. In this paper, we proposed cooperative-based detection method to improve detection performance of flooding attack which paralyzes network by consuming resource. Accurate attack detection is done as per calculated adaptively threshold value considered the amount of all network traffic and the number of nodes. All the mobile nodes used a table called NHT to perform collaborative detection and apply cluster structure to the center surveillance of traffic.