• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2651-2673
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• 2019

In order to detect Denial of Service (DoS) attacks, victim-side detection methods are used popularly such as static threshold-based method and machine learning-based method. However, as DoS attacking methods become more sophisticated, these methods reveal some natural disadvantages such as the late detection and the difficulty of tracing back attackers. Recently, in order to mitigate these drawbacks, source-side DoS detection methods have been researched. But, the source-side DoS detection methods have limitations if the volume of attack traffic is relatively very small and it is blended into legitimate traffic. Especially, with the subtle attack traffic, DoS detection methods may suffer from high false positive, considering legitimate traffic as attack traffic. In this paper, we propose an effective source-side DoS detection method with traffic seasonality aware adaptive threshold. The threshold of detecting DoS attack is adjusted adaptively to the fluctuated legitimate traffic in order to detect subtle attack traffic. Moreover, by understanding the seasonality of legitimate traffic, the threshold can be updated more carefully even though subtle attack happens and it helps to achieve low false positive. The extensive evaluation with the real traffic logs presents that the proposed method achieves very high detection rate over 90% with low false positive rate down to 5%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4B
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• pp.428-434
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• 2009

Many RFID authentication protocols have been proposed to build a secure ubiquitous environment. However, existing protocols do not respond recent attacks appropriately and they perform many hash operations to authenticate a large number of tags. In this paper, we propose a hash function-based secure authentication protocol for improving efficiency in RFID system. The proposed protocol is safe to passive attacks and active attacks, and requires only 2 hash operations in a tag and 3 hash operations in a database. Accordingly, the proposed protocol is very effective in RFID system environment which is composed to low-cost tags and a database handling many tags.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.697-699
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• 2003

최근의 네트워크 공격의 주류는 DoS (denial-of-service)와 DDoS (distributed DoS) 공격이다. 이러한 공격들은 공격자가 침입 대상 시스템의 자원을 완전히 소모시켜서 시스템이 정상적인 서비스를 할 수 없도록 하는 것이다. 각 시스템의 관리자들은 이러한 침입이나 공격을 막기 위한 방편 중에 하나로 IDS(Intrusion detection system)를 사용하고 있다. 그러나 IDS의 높은 false-positive(정상적인 사용을 공격으로 잘못 판단하는 경우)의 발생빈도는 심각한 문제점 중의 하나는 이다. 이런 false-positive의 발생빈도를 줄이고자 본 논문에서는 한번의 판단만으로 연결(connection)을 차단시키지 않고, trust라는 개념을 도입하여 trust의 값에 따라서 사용자에게 차등 서비스를 제공하는 기법을 제안한다. 즉, trust를 이용하는 기법은 각 사용자를 한번에 공격자인지 일반 사용자인지 결정하지 않고, 한 번 더 검사하여 false-positive의 발생빈도를 감소시키는 기법이다.

• ETRI Journal
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• v.44 no.2
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• pp.346-354
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• 2022

The SYN flooding attack is widely used in cyber attacks because it paralyzes the network by causing the system and bandwidth resources to be exhausted. This paper proposed a self-information approach for detecting the SYN flooding attack and provided a detection algorithm with a hierarchical policy on a detection time domain. Compared with other detection methods of entropy measurement, the proposed approach is more efficient in detecting the SYN flooding attack, providing low misjudgment, hierarchical detection policy, and low time complexity. Furthermore, we proposed a detection algorithm with limiting system resources. Thus, the time complexity of our approach is only (log n) with lower time complexity and misjudgment rate than other approaches. Therefore, the approach can detect the denial-of-service/distributed denial-of-service attacks and prevent SYN flooding attacks.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.910-913
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• 2012

통신기술의 발달과 스마트 폰의 급격한 보급으로 인하여 모바일 환경은 음성 데이터 기반의 환경에서 인터넷 데이터 기반의 환경으로 급격히 변화되었다. 이로 인하여 음성 서비스 처리 위주의 음성 데이터 기반 모바일 환경은 대용량 동영상 서비스, 인터넷, 메신저 등의 유선 네트워크 환경과 같은 다양한 서비스가 요구되는 환경으로 변화되었다. 이러한 환경 변화로 인하여 모바일 네트워크는 무선 네트워크상의 취약점 뿐 만 아니라 유선환경의 네트워크 취약점을 동시에 지니는 환경으로 변화되었고, 이로 인한 다양한 새로운 취약점들이 부각되기 시작하였다. 본 논문에서는 이와 같이 새롭게 부각되고 있는 모바일 Packet Switched Core Network(PSCN) 환경에서 Service Provider(SP)의 Service Recover로 인해 유발되는 Paging Table Denial of Service(PT-DoS)를 효율적으로 제어하기 위한 Delay Access Control(DAC) 기반의 QoS를 이용한 방법을 설계/구현하였다. 그리고 실험을 통해, PT-DoS를 차단하여 PSCN 공격을 미연에 방지하는 효과를 확인하였다.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.67-74
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• 2022

One type of network security breach is the availability breach, which deprives legitimate users of their right to access services. The Denial of Service (DoS) attack is one way to have this breach, whereas using the Intrusion Detection System (IDS) is the trending way to detect a DoS attack. However, building IDS has two challenges: reducing the false alert and picking up the right dataset to train the IDS model. The survey concluded, in the end, that using a real dataset such as MAWILab or some tools like ID2T that give the researcher the ability to create a custom dataset may enhance the IDS model to handle the network threats, including DoS attacks. In addition to minimizing the rate of the false alert.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1942-1950
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• 2013

This paper suggests a new method of detecting attacks of network traffic by visualizing original traffic data and applying multi-class SVM (support vector machine). The proposed method first generates 2D images from IP and ports of transmitters and receivers, and extracts linear patterns and high intensity values from the images, representing traffic attacks. It then obtains variance of ports of transmitters and receivers and extracts the number of clusters and entropy features using ISODATA algorithm. Finally, it determines through multi-class SVM if the traffic data contain DDoS, DoS, Internet worm, or port scans. Experimental results show that the suggested multi-class SVM-based algorithm can more effectively detect network traffic attacks.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.3011-3019
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• 1999

Denial of service is about knocking off services, without permission for example through crashing the whole system. This kind of attacks are easy to launch and it is hard to protect a system against them. The basic problem is that Unix assumes that users on the system or on other systems will be well behaved. This paper analyses system-based inside denial of services attack(DoS) and system metric for performance of each machine provided. And formalize the conclusions results in ways that clearly expose the performance impact of those observations. So, we present new approach. It is detecting DoS attack using performance signature for system and program behavior. We present new approach. It is detecting DoS attack using performance signature for system and program behavior. We believe that metric will be to guide to automated development of a program to detect the attack. As a results, we propose the AIDPS(Architecture for Intrusion Detection using Performance Signature) model to detect DoS attack using performance signature.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.395-397
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• 2003

서비스거부공격(DoS)은 공격의 목표가 되는 호스트에 악의적인 패킷을 단지 하나만 보냄으로써 공격이 이루어 질 수 없다. 그렇기 때문에 침입탐지시스템에서는 패킷에 대한 일련의 순차성을 알아냄으로써 연속적인 패킷을 보내는 DoS 공격으로서의 침입을 탐지해 내는 것이 가능하다. 본 연구에서는 네트워크 패킷에 대한 송신지의 주소와 서비스, 목적지의 주소와 서비스를 이용하여 이벤트를 정의 하였으며. 이렇게 정의된 이벤트를 이용하여 정상적인 상황에서의 이벤트에 대한 순차의존성과 DoS 공격 상황에서의 이벤트에 대한 순차의존성을 알아내었다. 이벤트에 대한 순차의존성을 측정하기 위해서 정상 이벤트가 발생하는 확률을 이용하였으며. 더 나아가서는 정보이론 분야에서의 조건부 엔트로피의 사용도 제안하였다.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.69-78
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• 2023

With the global rise of digital data, the uncontrolled quantity of data is susceptible to cyber warfare or cyber attacks. Therefore, it is necessary to improve cyber security systems. This research studies the behavior of malicious acts and uses Higuchi Fractal Dimension (HFD), which is a non-linear mathematical method to examine the intricacy of the behavior of these malicious acts and anomalies within the cyber physical system. The HFD algorithm was tested successfully using synthetic time series network data and validated on real-time network data, producing accurate results. It was found that the highest fractal dimension value was computed from the DoS attack time series data. Furthermore, the difference in the HFD values between the DoS attack data and the normal traffic data was the highest. The malicious network data and the non-malicious network data were successfully classified using the Receiver Operating Characteristics (ROC) method in conjunction with a scaling stationary index that helps to boost the ROC technique in classifying normal and malicious traffic. Hence, the suggested methodology may be utilized to rapidly detect the existence of abnormalities in traffic with the aim of further using other methods of cyber-attack detection.