• Journal of Digital Convergence
• /
• v.12 no.1
• /
• pp.423-429
• /
• 2014

DDoS attacks is upgrade of DoS attacks. Botnet is being used by DDoS attack, so it is able to attack a millions of PCs at one time. DDoS attacks find the root the cause of the attack because it is hard to find sources for it, even after the treatment wavelength serious social problem in this study, the analysis and countermeasures for DDoS attack is presented.

• 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.

• KIPS Transactions on Computer and Communication Systems
• /
• v.4 no.4
• /
• pp.135-140
• /
• 2015

The WDSS improves defensive capacity against web application layer DDoS attack by using web cache server and L7 switch which are added on the DDoS shelter system. When web DDoS attack occurs, security agents divert traffic from backbone network to sub-network of the WDSS and then DDoS protection device and L7 switch block abnormal packets. In the meantime, web cache server responds only to requests of normal clients and maintains stable web service. In this way, the WDSS can counteract the web DDoS attack which generates small traffic and depletes server-client session resource. Furthermore, the WDSS does not require IP tunneling because it is not necessary to retransfer the normal requests to original web server. In this paper, we validate operation of the WDSS and verify defensive capability against web application layer DDoS attacks. In order to do this, we built the WDSS on backbone network of an ISP. And we performed web DDoS tests by using a testing system that consists of zombie PCs. The tests were performed by three types and various amounts of web DDoS attacks. Test results suggest that the WDSS can detect small traffic of the web DDoS attacks which do not have repeat flow whereas the formal DDoS shelter system cannot.

• Journal of the Korea Society for Simulation
• /
• v.19 no.4
• /
• pp.139-149
• /
• 2010

Internet was designed for network scalability and best-effort service which makes all hosts connected to Internet to be vulnerable against attack. Many papers have been proposed about attack detection algorithms against the attack using IP spoofing and DoS/DDoS attack. Purpose of DoS/DDoS attack is achieved in short period after the attack begins. Therefore, DoS/DDoS attack should be detected as soon as possible. Attack detection algorithms using false alarm rates consist of the false negative rate and the false positive rate. Moreover, they are important metrics to evaluate the attack detections. In this paper, we analyze the performance of the attack detection algorithms using the impact of false negative rate and false positive rate variation to the normal traffic and the attack traffic by simulations. As the result of this, we find that the number of passed attack packets is in the proportion to the false negative rate and the number of passed normal packets is in the inverse proportion to the false positive rate. We also analyze the limits of attack detection due to the relation between the false negative rate and the false positive rate. Finally, we propose a solution to minimize the limits of attack detection algorithms by defining the network state using the ratio between the number of packets classified as attack packets and the number of packets classified as normal packets. We find the performance of attack detection algorithm is improved by passing the packets classified as attacks.

• Journal of Korea Multimedia Society
• /
• v.16 no.6
• /
• pp.678-688
• /
• 2013

Different Different from a single attack, in DDoS Attacks, the botnets that are distributed on network initiate attacks against the target server simultaneously. In such cases, it is difficult to take an action while denying the access of packets that are regarded as DDoS since normal user's convenience should also be considered at the target server. Taking these considerations into account, the DDoS botnet detection system that can reduce the strain on the target server by detecting DDoS attacks on each user network basis, and then lets the network administrator to take actions that reduce overall scale of botnets, has been implemented in this study. The DDoS botnet detection system proposed by this study implemented the program which detects attacks based on the database composed of faults and abnormalities collected through analyzation of hourly attack traffics. The presence of attack was then determined using the threshold of current traffic calculated with the standard deviation and the mean number of packets. By converting botnet-based detection method centering around the servers that become the targets of attacks to the network based detection, it was possible to contemplate aggressive defense concept against DDoS attacks. With such measure, the network administrator can cut large scale traffics of which could be referred as the differences between DDoS and DoS attacks, in advance mitigating the scale of botnets. Furthermore, we expect to have an effect that can considerably reduce the strain imposed on the target servers and the network loads of routers in WAN communications if the traffic attacks can be blocked beforehand in the network communications under the router equipment level.

• 한국IT서비스학회:학술대회논문집
• /
• 2009.05a
• /
• pp.214-217
• /
• 2009

통신망의 발달로 수많은 인터넷 기반 서비스들이 등장함에 따라 다양한 외부공격이 심화되고 있다. 특히, 시스템 또는 네트워크 자원을 공격 대상으로 하는 서비스 거부 공격(DoS : Denial of Service) 및 분산 서비스 거부 공격(DDoS : Distributed DoS)의 문제가 대두되고 있는데, 본 논문에서는 DDoS 공격 근원지 IP주소의 위치 분류의 필요성을 분석하고 공격 근원지 IP주소 위치의 국내 외 여부를 판별하기 위해 국내 IP분배 할당 체계 현황을 분석한다. 또한 DDoS공격을 포함한 여러 가지 해킹에 빠르게 대응할 수 있고 근원지 IP에 관련된 정보를 알아낼 수 있는 시스템을 위한 분류 기법 정립 방안을 제시한다.

• The KIPS Transactions:PartC
• /
• v.10C no.3
• /
• pp.253-264
• /
• 2003

This paper presents the analytic model of Distributed Denial-of-Service (DDoS) attacks in two settings: the normal Web server without any attack and the Web server with DDoS attacks. In these settings, we measure TCP flag rate, which is expressed in terms of the ratio of the number of TCP flags, i.e., SYN, ACK, RST, etc., packets over the total number of TCP packets, and Protocol rate, which is defined by the ratio of the number of TCP (UDP or ICMP) packets over the total number of W packets. The experimental results show a distinctive and predictive pattern of DDoS attacks. We wish our approach can be used to detect and prevent DDoS attacks.

• 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 the Korea Institute of Information Security & Cryptology
• /
• v.25 no.1
• /
• pp.147-153
• /
• 2015

Since the DoS(Denial of Service) attack is still an important vulnerable element in many web service sites, sites including public institution should try their best in constructing defensive systems. Recently, DDoS(Distributed Denial of Service) has been raised by prompting mass network traffic that uses NTP's monlist function or DoS attack has been made related to the DNS infrastructure which is impossible for direct defense. For instance, in June 2013, there has been an outbreak of an infringement accident where Computing and Information Agency was the target. There was a DNS application DoS attack which made the public institution's Information System impossible to run its normal services. Like this, since there is a high possibility in having an extensive damage due to the characteristics of DDoS in attacking unspecific information service and not being limited to a particular information system, efforts have to be made in order to minimize cyber threats. This thesis proposes a method for using TTL (Time To Live) value in IP header to detect DDoS attack with IP spoofing, which occurs when data is transmitted under the agreed regulation between the international and domestic information system.

• Journal of the Korea Society for Simulation
• /
• v.18 no.4
• /
• pp.207-217
• /
• 2009

We propose a two-stage Distributed Denial of Service (DDoS) defense system, which can protect a given subnet by serving existing flows and new flows with a different priority based on IP history information. Denial of Service (DoS) usually occurs when the resource of a network node or link is limited and the demand of the users for that resource exceeds the capacity. The objective of the proposed defense system is to provide continued service to existing flows even in the presence of DDoS attacks. The proposed scheme can protect existing connections effectively with a smaller memory size by reducing the monitored IP address set through sampling and per-prefix history management. We evaluate the performance of the proposed scheme through simulation.