• Proceedings of the IEEK Conference
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• 2002.06e
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• pp.43-46
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• 2002

This paper deals with a denial of service is about without permission knocking off service, for example through crashing the whole system. Another definition is that denial of service is seeing to that someone don't get what they paid for. The Network Denial of service Attack Detection System designed and implemented through suggested algorithm can detect attacking from the outside among denial of service attacks. It shown that designed system gives the system administrator the opportunity to detect denial of service attack.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.181-184
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• 2002

This paper describes remote control RS232 communication using internet service, safety of exchange data and internet traffic by Denial of Service Attacks. In case of Denial of service Attacks, it makes connection of internet service failed. So in this Paper, this solution was examined and implemented for receiving data in safety against Denial of Service Attacks by LabVIEW program of National Instruments.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.587-593
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• 2021

In this thesis, we will break away from the classic DDoS response system for large-scale denial-of-service attacks that develop day by day, and effectively endure intelligent denial-of-service attacks by utilizing artificial intelligence-based technology, one of the core technologies of the 4th revolution. A possible service model development plan was proposed. That is, a method to detect denial of service attacks and minimize damage through machine learning artificial intelligence learning targeting a large amount of data collected from multiple security devices and web servers was proposed. In particular, the development of a model for using artificial intelligence technology is to detect a Western service attack by focusing on the fact that when a service denial attack occurs while repeating a certain traffic change and transmitting data in a stable flow, a different pattern of data flow is shown. Artificial intelligence technology was used. When a denial of service attack occurs, a deviation between the probability-based actual traffic and the predicted value occurs, so it is possible to respond by judging as aggressiveness data. In this paper, a service denial attack detection model was explained by analyzing data based on logs generated from security equipment or servers.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.4
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• pp.63-73
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• 2010

Malicious bot programs, the source of distributed denial of service attack, are widespread and the number of PCs which were infected by malicious bot program are increasing geometrically thesedays. The continuous distributed denial of service attacks are happened constantly through these bot PCs and some financial incident cases have found lately. Therefore researches to response distributed denial of service attack are necessary so we propose an effective feature generation method for distributed denial of service attack detection using entropy. In this paper, we apply our method to both the DARPA 2000 datasets and also the distributed denial of service attack datasets that we composed and generated ourself in general university. And then we evaluate how the proposed method is useful through classification using bayesian network classifier.

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1858-1866
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• 1999

Recently, increasing attacks using network packets cause serious problems in networked environments ; from disturbing normal network operations to damaging computing resources. Among them denial of services are considered as critical attacks that directly exploit network packets to degrade availability. In this paper, we classify the types of denial of services in the network layer and develop detection methods that can keep the network from the classified denial of service attacks. The methods are then merged into an integrated denial of service detection algorithm that is scalable to detect new denial of service attacks.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.709-711
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• 2003

현재 사용되어지는 컴퓨터 통신 프로토콜(OSI 7 layer reference model)은 구조적인 문제점을 들어내고 있다. 이런 문제점 때문에, 해커들은 수많은 패킷들을 생성시키는 Denial of Service(DoS) 공격과 Distributed Denial of Service(DDoS) 공격을 사용하여 한 호스트나 한 네트워크 자원에 치명적인 악영향을 미친다. 특정한 TCP 포트나 UDP 포트에 공격을 가하는 경우에는 룰 기반의 침입탐지 시스템(IDS)이 탐지 해낼 수 있지만 다른 임의의 포트에 공격을 가하게 되연 IDS는 이것을 탐지하지 못한다. 따라서 우리는 잉의의 포트에 DoS나 DDoS 공격들이 일어났을 때 이 공격들을 탐지할 수 있는 모델을 설계하였다.

• Convergence Security Journal
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• v.8 no.3
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• pp.1-8
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• 2008

The pattern matching part of Intrusion Detection System based on misuse-detection mechanism needs much processing time and resources, and it has become a bottleneck in system performance. Moreover, it derives denial-of-service attack. In this paper, we propose (1) framework architecture that is strong against denial-of-service attack and (2) efficient pattern matching method especially for web server system. By using both of these 2 methods, we can maintain web server system efficiently secure against attacks including denial-of-service.

• KEPCO Journal on Electric Power and Energy
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• v.1 no.1
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• pp.55-59
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• 2015

Denial of Service (DoS) attack is to interfere the normal user from using the information technology services. With a rapid technology improvements in computer and internet environment, small sized DoS attacks targeted to server or network infrastructure have been disabled. Thus, Distributed Denial of Service (DDoS) attacks that utilizes from tens to several thousands of distributed computers as zombie PC appear to have as one of the most challenging threat. In this paper, we categorize the DDoS attacks and classify existing countermeasures based on where and when they prevent, detect, and respond to the DDoS attacks. Then we propose a comprehensive defense mechanism against DDoS attacks in Control System to detect attacks efficiently.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.252-255
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• 2002

As more critical services are provided in the internet, the risk to these services from malicious users increases. Several networks have experienced problems like Denial of Service(DoS) attacks recently. We analyse a network-based denial of service attack, which is called SYM flooding, to TCP-based networks. It occurs by an attacker who sends TCP connection requests with spoofed source address to a target system. Each request causes the targeted system to send instantly data packets out of a limited pool of resources. Then the target system's resources are exhausted and incoming TCP port connections can not be established. The paper is concerned with a detailed analysis of TCP SYN flooding denial of service attack. In this paper, we propose a Real Time Scan Detector(RTSD) mechanism and evaluate it\`s Performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.9
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• pp.2073-2081
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• 2013

Today's rapidly changing society can lead to maladaptive behaviors. In the situations, rehabilitation psychology analysis using the on-line test be needed to solve the problem. However, Internet-based rehabilitation psychology analysis by a malicious attacker may still be vulnerable to denial-of-service attacks. The service flooding attacks render the server incapable of providing its service to legitimate clients. Therefore the importance of implementing systems that prevent denial of service attacks and provide service to legitimate users cannot be overemphasized. In this paper, we propose a puzzle protocol which applies to authentication model. our gradually strengthening authentication model improves the availability and continuity of services and prevent denial of service attacks and we implement flooding of service tolerance system to verify the efficiency of our model. This system is expected to be ensure in the promotion of reliability.