• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.65-72
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• 2005

In this study, we suggest a new mechanism on the design and implementation of IP Traceback system against DDos/DRDoS by Zombie and Reflector attack based on spoofed IP packets. After analysis and comparing on the state-of-arts of several IP traceback mechanisms, we can find their own pros and cons primitives. And then we performed simulations on reflector based DRDoS network packets. In first, we suggest a NS-2 based IP traceback module and implement it for finding its real DRDoS attacker. As a results, we can find advanced new IP traceback scheme for providing enhanced proactive functionality against DRDoS attack.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1670-1675
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• 2020

In this study, to provide the basis for establishing effective network based countermeasures against DRDoS(Distributed Reflection Denial of Service) attacks, we propose a new 'DRDoS attack multi-level detection method' that identifies the network based characteristics of DRDoS and applies probability and statistical techniques. The proposed method removes the limit to which normal traffic can be indiscriminately blocked by unlimited competition in network bandwidth by amplification of reflectors, which is characteristic of DRDoS. This means that by comparing 'Server to Server' and 'Outbound Session Incremental' for it, accurate DRDoS identification and detection is possible and only statistical and probabilistic thresholds are applied to traffic. Thus, network-based information security systems can take advantage of this to completely eliminate DRDoS attack frames. Therefore, it is expected that this study will contribute greatly to identifying and responding to DRDoS attacks.

• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.243-248
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• 2015

U-Healthcare is a convergence service with medical care and IT which enables to examine, manage and maintain the patient's health any time and any place. For communication conducted in U-Healthcare service, the transmission methods are used that patient's medical checkup analysis results or emergency data are transmitted to hospital server using wireless communication method. At this moment when the attacker who executes the malicious access makes DRDoS(Distributed Reflection DoS) attack to U-Healthcare devices or BS(Base Station), various damages occur that contextual information of urgent patients are not transmitted to hospital server. In order to deal with this problem, this study suggests DRDoS attack scenario and countermeasures against DRDoS and converges with Big Data which could process large amount of packets. When the attacker attacks U-Healthcare devices or BS(Base Station), DB is interconnected and the attack is prevented if it is coincident. This study analyzes the attack method that could occur in U-Healthcare devices or BS which are remote medical service and suggests countermeasures against the security threat using Big Data.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.5
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• pp.127-134
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• 2014

In DRDoS(Distributed Reflective Denial of Service) attacks, the victim is bombarded by packets from legitimate reflector unlike DDoS(Distributed Denial of Service) attacks through zombie, which is more dangerous than DDoS attack because it is in stronger disguise. Therefore, the method of filtering packet method on router are useless. Moreover SCTP(Stream Control Transmission Protocol) multi-homing feature, such as with an improved transmission protocol allows detecting attacks is more difficult and the effect of the attack can be maximized. In this paper we propose a DRDoS detection mechanism based on DRDoS utilizing attention to the characteristics of stateful protocols. The proposed scheme is backed by stateful firewall, and detect DRDoS attacks through a rules table and perform a defense treatment against DRDoS attack. Rules table with a simple structure is possible to easily adapt for any kind of stateful protocol can used by DRDoS attack. The experimental result confirm that our proposed scheme well detect DRDoS attacks using SCTP, the next-generation transmission protocol which not known by victim, and reduce the attacking packets rapidly.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.22-30
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• 2020

With the development of information and communication technology, DDoS and DRDoS continue to become security issues, and gradually develop into advanced techniques. Recently, IT companies have been threatened with DRDoS technology, which uses protocols from normal servers to exploit as reflective servers. Reflective traffic is traffic from normal servers, making it difficult to distinguish from security equipment and amplified to a maximum of Tbps in real-life cases. In this paper, after comparing and analyzing the DNS amplification and Memcached amplification used in DRDoS attacks, a countermeasure that can reduce the effectiveness of the attack is proposed. Protocols used as reflective traffic include TCP and UDP, and NTP, DNS, and Memcached. Comparing and analyzing DNS protocols and Memcached protocols with higher response sizes of reflective traffic among the protocols used as reflective traffic, Memcached protocols amplify ±21% more than DNS protocols. The countermeasure can reduce the effectiveness of an attack by using the Memcached Protocol's memory initialization command. In future studies, various security-prone servers can be shared over security networks to predict the fundamental blocking effect.

• Electronics and Telecommunications Trends
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• v.31 no.6
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• pp.77-87
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• 2016

최근 지능화된 DDoS 공격 추세를 반영하여 DRDoS 및 HTTP GET flooding 공격을 네트워크 내 탐지 포인터에서 검출할 수 있는 방법을 살펴본다. DRDoS 공격은 해커들이 스푸핑 된 IP 주소를 사용하기 때문에 기본적으로 은닉형 공격자로 판단할 수 있다. HTTP GET flooding 공격은 해커의 제어 하에 실제적으로 IP 주소를 위장하여 공격을 시도하는 좀비 PC를 검출하는 것도 중요하지만 좀비 PC를 제어하는 C&C 서버로의 통신 채널을 탐지 및 차단하는 것과 C&C 서버에 접근하는 해커를 추적하는 것이 더 원론적인 방어전략이 될 수 있으며 관련 은닉형 DDoS 공격에 대한 국내외 기술개발 동향 및 대응 기술 추세에 대해서 살펴본다.

• Convergence Security Journal
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• v.9 no.4
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• pp.35-41
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• 2009

Internet routing protocols currently in use in the typical protocol of the existing BGP protocol to strengthen the security of the BGP protocol by comparison with research on emerging issues of the AS-Path, IP Fake, DRDoS BGP protocol must be used when such the information you need, but due to malicious attack, or an incorrect setting can prevent the global Internet network operating in an security to threat information are analyzed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.429-437
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• 2015

DDoS attacks have been used for paralyzing popular Internet services. Especially, amplification attacks have grown dramatically in recent years. Defending against amplification attacks is challenging since the attacks usually generate extremely hugh amount of traffic and attack traffic is coming from legitimate servers, which is hard to differentiate from normal traffic. Moreover, some of protocols used by amplification attacks are widely adopted in IoT devices so that the number of servers susceptible to amplification attacks will continue to increase. This paper studies on the analysis of amplification attack mechanisms in detail and proposes defense methodologies for scenarios where attackers, abused servers or victims are in a monitoring network.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.9
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• pp.4599-4617
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• 2018

Abusing the Simple Server Discovery Protocol (SSDP) can induce an SSDP attack (including SSDP DoS, DDoS, DRDoS) posing a significant threat to UPnP devices. Rapid and extensive developments in computer technology, especially in regards to IoT, have made Upnp devices an indispensable part of our daily lives - but also render them susceptible to a variety of SSDP attacks without suitable countermeasures. This paper proposes the Two-dimensional table scheme, which provides high security at a reasonable computational cost. The feasibility and effectiveness of the proposed scheme are also validated by comparison against four other schemes (Stateless connections, Failing-together, Cookie, and Client puzzle).

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.101-108
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• 2022

We propose an intrusion detection model that detects denial-of-service(DoS) and distributed reflection denial-of-service(DRDoS) attacks, based on the empirical data of each internet of things(IoT) device by training system and network metrics that can be commonly collected from various IoT devices. First, we collect 37 system and network metrics from each IoT device considering IoT attack scenarios; further, we train them using six types of machine learning models to identify the most effective machine learning models as well as important metrics in detecting and distinguishing IoT attacks. Our experimental results show that the Random Forest model has the best performance with accuracy of over 96%, followed by the K-Nearest Neighbor model and Decision Tree model. Of the 37 metrics, we identified five types of CPU, memory, and network metrics that best imply the characteristics of the attacks in all the experimental scenarios. Furthermore, we found out that packets with higher transmission speeds than larger size packets represent the characteristics of DoS and DRDoS attacks more clearly in IoT networks.