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

• KEPCO Journal on Electric Power and Energy
• /
• v.1 no.1
• /
• pp.55-59
• /
• 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 Information Science Society Conference
• /
• 2003.10a
• /
• pp.709-711
• /
• 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.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.12
• /
• pp.1913-1920
• /
• 2017

Software Defined Networking creates totally new concept of networking and its applications which is based on separating the application and control layer from the networking infrastructure as a result it yields new opportunities in improving the network security and making it more automated in robust way, one of these applications is Denial of Service attack mitigation but due to the dynamic nature of Denial of Service attack it would require dynamic response which can mitigate the attack with the minimum false positive. In this paper we will propose a new mitigation Framework for DDoS attacks using Software Defined Networking technology to protect online services e.g. websites, DNS and email services against DoS and DDoS attacks.

• Journal of Multimedia Information System
• /
• v.7 no.2
• /
• pp.125-136
• /
• 2020

Nowadays, cloud computing is becoming more popular among companies. However, the characteristics of cloud computing such as a virtualized environment, constantly changing, possible to modify easily and multi-tenancy with a distributed nature, it is difficult to perform attack detection with traditional tools. This work proposes a solution which aims to collect traffic packets data by using Flume and filter them with Spark Streaming so it is possible to only consider suspicious data related to HTTP Slow Rate Denial-of-Service attacks and reduce the data that will be stored in Hadoop Distributed File System for analysis with the FP-Growth algorithm. With the proposed system, we also aim to address the difficulties in attack detection in cloud environment, facilitating the data collection, reducing detection time and enabling an almost real-time attack detection.

• Journal of Information Processing Systems
• /
• v.17 no.4
• /
• pp.675-689
• /
• 2021

Nowadays, cloud computing is being adopted for more organizations. However, since cloud computing has a virtualized, volatile, scalable and multi-tenancy distributed nature, it is challenging task to perform attack detection in the cloud following conventional processes. This work proposes a solution which aims to collect web server logs by using Flume and filter them through Spark Streaming in order to only consider suspicious data or data related to denial-of-service attacks and reduce the data that will be stored in Hadoop Distributed File System for posterior analysis with the frequent pattern (FP)-Growth algorithm. With the proposed system, we can address some of the difficulties in security for cloud environment, facilitating the data collection, reducing detection time and consequently enabling an almost real-time attack detection.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.4
• /
• pp.729-735
• /
• 2013

The recent issue of distributed denial of service attack paralyze major government and financial institution in internet sites. They threatened to the cyber security. There hasn't been easy defense of now using attack. There seems to be increases in damage. In this paper, The recent continue to evolve of distributed denial of service attack. DNS target of distributed denial of service attack give specific examples. but, DNS target of DDoS attacks about defense is insufficient. The DNS Cyber-shelter system was created based on the Cyber-shelter system for DDoS attack in Kisa.. We proposal DNS Cyber-shelter system.

• Journal of information and communication convergence engineering
• /
• v.21 no.3
• /
• pp.192-197
• /
• 2023

A Distributed reflection denial of service (DRDoS) is a variant of DDoS attacks that threatens the availability of services to legitimate users. In response to this evolving threat landscape, the cybersecurity industry and service providers have intensified their efforts to develop effective countermeasures. Despite these efforts, attackers continue to innovate, developing new strategies and tools while becoming more sophisticated. Consequently, DRDoS attacks continue to be harmful. Therefore, ongoing research and development is essential to improve defense against DRDoS attacks. To advance our understanding and analysis of DRDoS attacks, this study examines the unique characteristics of DRDoS attacks and quantifies the risks involved. Additionally, it adopts a quantitative rather than traditional qualitative methods to derive and apply risk, particularly the probability of loss that can be caused by DRDoS attacks.

• International Journal of Internet, Broadcasting and Communication
• /
• v.8 no.2
• /
• pp.55-65
• /
• 2016

Distributed Denial of service attack is one of the major threats nowadays especially to the government infrastructure that give huge impact to the reputation and interrupt the services and resource. Our survey start with brief introduction about DDoS attacks, we illustrate the trends and incident happened at government from various countries. We then provide an extensive literature review on the existing research about implication, types of attacks and initiative to defence against the DDoS attacks. Our discussion aims to identify the trends in DDoS attacks, in depth impact of DDoS attacks to government infrastructure, classification of attacks and techniques against the attacks. And we will use for a fire fight safety and management.

• Journal of Convergence Society for SMB
• /
• v.5 no.1
• /
• pp.19-23
• /
• 2015

Distributed Denial of Service attack is a form of denial of service attacks, the attacker to attack a place in a number of points of attack by a wide variety of forms over the network to perform a service on a point attack . Do not use a specific server or client attempts to make a connection to many services available that prevents this attack and so normally used . Corresponding methods of DDoS attacks has a corresponding managerial aspects and technical aspects of the proposed two.