• The KIPS Transactions:PartC
• /
• v.16C no.1
• /
• pp.13-20
• /
• 2009

Recently, as traffic flooding attacks such as DoS/DDoS and Internet Worm have posed devastating threats to network services, rapid detection and proper response mechanisms are the major concern for secure and reliable network services. However, most of the current Intrusion Detection Systems (IDSs) focus on detail analysis of packet data, which results in late detection and a high system burden to cope with high-speed network traffic. In this paper we propose an SNMP-based lightweight and fast detection algorithm for traffic flooding attacks, which minimizes the processing and network overhead of the detection system, minimizes the detection time, and provides high detection rate. The attack detection algorithm consists of three consecutive stages. The first stage determines the detection timing using the update interval of SNMP MIB. The second stage analyzes attack symptoms based on correlations of MIB data. The third stage determines whether an attack occurs or not and figure out the attack type in case of attack.

• The KIPS Transactions:PartC
• /
• v.13C no.4 s.107
• /
• pp.405-414
• /
• 2006

We present a symptom based taxonomy for network security. This taxonomy classifies attacks in the network using early symptoms of the attacks. Since we use the symptom it is relatively easy to access the information to classify the attack. Furthermore we are able to classify the unknown attack because the symptoms of unknown attacks are correlated with the one of known attacks. The taxonomy classifies the attack in two stages. In the first stage, the taxonomy identifies the attack in a single connection and then, combines the single connections into the aggregated connections to check if the attacks among single connections may create the distribute attack over the aggregated connections. Hence, it is possible to attain the high accuracy in identifying such complex attacks as DDoS, Worm and Bot We demonstrate the classification of the three major attacks in Internet using the proposed taxonomy.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.4 no.2
• /
• pp.39-47
• /
• 2008

As internet is spreaded widely, the number of cyber terror using hacking and virus is increased. Also the international cyber terror to the national key organizations go on increasing. If the national key organizations is attacked by the attack, the national paper, document and records are exposed to the other nations. The national paper, document and records can give damage to the nation. Especially, the unknown attack can give much damage to the nation. Therefore, this paper suggested a countermeasures on the cyber terror for the national key organizations provided the inner of the organization is safe. The uneffective item and invasion privacy item are included among the countermeasures. However the countermeasures can protect only one cyber terror to the national key organizations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2004.05b
• /
• pp.772-775
• /
• 2004

After Morris' Internet Worm in 1988, the stack buffer overflow hacking became generally known to hackers and it has been used to attack systems and servers very frequently. Recently, many researches tried to prevent it, and several solutions were developed such as Libsafe and StackGuard; however, these solutions have a few problems. In this paper we present a new stack buffer overflow attack prevention technique that uses the system call monitoring mechanism and memory address where the system call is made.

• The KIPS Transactions:PartC
• /
• v.15C no.3
• /
• pp.191-198
• /
• 2008

Because of the internet development, most of people can acquire the information freely. But it have the disadvantages. A remarkable thing among the disadvantages is the internet attack. Internet attacks were given damages to several fields. Specially, the damage is terrible to the economic side. Specially, company is susceptive to economic damage side. But it didn't execute a research about model that estimates damage to the economic side due to internet attacks. This paper presents a model that estimates the damage to economic side due to internet attacks.

• Convergence Security Journal
• /
• v.6 no.4
• /
• pp.49-57
• /
• 2006

Firewall to block a network access of unauthorized IP system and IDS (Intrusion Detection System) to detect malicious code pattern to be known consisted the main current of the information security system at the past. But, with rapid growth the diffusion speed and damage of malicious code like the worm, study of the unknown attack traffic is processed actively. One of such method is detection technique using traffic statistics information on the network viewpoint not to be an individual system. But, it is very difficult but to reserve traffic raw data or statistics information. Therefore, we present extraction technique of a network traffic Raw data and a statistics information like the time series. Also, We confirm the validity of a mixing traffic and show the evidence which is suitable to the experiment.

• Convergence Security Journal
• /
• v.11 no.6
• /
• pp.53-58
• /
• 2011

There is increasing use of common commercial operation system and standard PCs to control industrial production systems, and cyber security threat for industrial facilities have emerged as a serious problem. Now these network connected ICS(Industrial Control Systems) stand vulnerable to the same threats that the enterprise information systems have faced and they are exposed to malicious attacks. In particular Stuxnet is a computer worm targeting a specific industrial control system, such as a gas pipeline or power plant and in theory, being able to cause physical damage. In this paper we present an overview of the general configuration and cyber security threats of a SCADA and investigate the attack tree analysis to identify and assess security vulnerabilities in SCADA for the purpose of response to cyber attacks in advance.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.41 no.2
• /
• pp.277-284
• /
• 2016

Various network attacks such as DDoS(Distributed Denial of service) and orm are one of the biggest problems in the modern society. These attacks reduce the quality of internet service and caused the cyber crime. To solve the above problem, signature based IDS(Intrusion Detection System) has been developed by network vendors. It has a high detection rate by using database of previous attack signatures or known malicious traffic pattern. However, signature based IDS have the fatal weakness that the new types of attacks can not be detected. The reason is signature depend on previous attack signatures. In this paper, we propose a k-means clustering based malicious traffic detection method to complement the problem of signature IDS. In order to demonstrate efficiency of the proposed method, we apply the bayesian theorem.

• Journal of KIISE:Information Networking
• /
• v.37 no.1
• /
• pp.16-26
• /
• 2010

We present a testbed for collecting log information and evaluating network security under various attacks. This testbed is modeled on real Internet, where attack traffic coexists with normal traffic. Attacks can be produced either by attack tools directly or by data sets including attack traffic. It costs less time and money than existing ones which are both costly and often time consuming in constructing. Also, it can be easily revised or extended according to the traffic types or the uses. Therefore, using our testbed can make various tests more efficient and facilitate collecting log information of sensors with attacks. We discuss how to use our testbed through replay procedures of DDoS attack and worm. We also discuss how we surmount some difficulty in constructing the testbed.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.1586-1589
• /
• 2005

GUMF (Global User Management Framework) that is proposed in this research can be applied to next generation network such as BcN (Broadband convergence Network), it is QoS guaranteed security framework for user that can solve present Internet's security vulnerability. GUMF offers anonymity for user of service and use the user's real-name or ID for management of service and it is technology that can realize secure QoS. GUMF needs management framework, UMS (User Management System), VNC (Virtual Network Controller) etc. UMS consists of root UMS in country dimension and Local UMS in each site dimension. VNC is network security equipment including VPN, QoS and security functions etc., and it achieves the QoSS (Quality of Security Service) and CLS(Communication Level Switching) functions. GUMF can offer safety in bandwidth consumption attacks such as worm propagation and DoS/DDoS, IP spoofing attack, and current most attack such as abusing of private information because it can offer the different QoS guaranteed network according to user's grades. User's grades are divided by 4 levels from Level 0 to Level 3, and user's security service level is decided according to level of the private information. Level 3 users that offer bio-information can receive secure network service that privacy is guaranteed. Therefore, GUMF that is proposed in this research can offer profit model to ISP and NSP, and can be utilized by strategy for secure u-Korea realization.