• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.1
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• pp.27-37
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• 2011

The IDS/IPS(Intrusion Detection/Prevention System) has been widely deployed to protect the internal network against internet attacks. Reducing the packet inspection time is one of the most important challenges of improving the performance of the IDS/IPS. Since the IDS/IPS needs to match multiple patterns for the incoming traffic, we may have to apply the multiple pattern matching schemes, some of which use finite automata, while the others use the shift table. In this paper, we first show that the performance of those schemes would degrade with various kinds of pattern sets and payload, and then propose a hybrid multiple pattern matching scheme which combines those two schemes. The proposed scheme is organized to guarantee an appropriate level of performance in any cases. The experimental results using real traffic show that the time required to do multiple pattern matching could be reduced effectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.2
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• pp.111-117
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• 2011

Advances in encryption technology to secret communication and information security has been strengthened. Cryptovirus is the advent of encryption technology to exploit. Also, anyone can build and deploy malicious code using windows CAPI. Cryptovirus and malicious code using windows CAPI use the normal windows API. So vaccine software and security system are difficult to detect and analyze them. This paper examines and make hooking tool against Crytovirus and malicious code using windows CAPI.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.363-366
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• 2002

최근 네트워크 취약점 검색 방법을 이용한 침입 공격이 늘어나는 추세이며 이런 공격에 대하여 적절하게 실시간 탐지 및 대응 처리하는 침입방지시스템(IPS: Intrusion Prevention System)에 대한 연구가 지속적으로 이루어지고 있다. 본 논문에서는 시스템에 허락을 얻지 않은 서비스 거부 공격(Denial of Service Attack) 기술 중 TCP의 신뢰성 및 연결 지향적 전송서비스로 종단간에 이루어지는 3-Way Handshake를 이용한 Syn Flooding Attack에 대하여 침입시도패킷 정보를 수집, 분석하고 퍼지인식도(FCM : Fuzzy Cognitive Maps)를 이용한 침입시도여부를 결정하는 네트워크 기반의 실시간 탐지 모델(Network based Real Time Scan Detection Model)을 제안한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.11-17
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• 2018

IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.351-360
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• 2006

Proposed security system attacks it, and detect it, and a filter generation, a business to be prompt of interception filtering dates at attack information public information. inner IPS to attack detour setting and a traffic band security, different connection security system, and be attack packet interceptions and service and port interception setting. Exchange new security rule and packet filtering for switch type implementation through dynamic reset memory by real time, and deal with a packet. The attack detection about DDoS, SQL Stammer, Bug bear, Opeserv worm etc. of the 2.5 Gbs which was an attack of a hacker consisted in network performance experiment by real time. Packet by attacks of a hacker was cut off, and ensured the normal inside and external network resources besides the packets which were normal by the results of active renewal.

• Journal of Service Research and Studies
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• v.5 no.1
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• pp.57-70
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• 2015

This paper develop curnel based high speed packet filtering imbedded gateway and firewall using cloud database. This study develop equipment include of predict function through bigdata analysis using cloud system. This equipment include intrusion prevention for network attack, and include system security function of L7 switch based contents. This study can improve security level of little company and general family. This study can pioneer a new market. This study can develop high perfomance switch and replacement of existing security equipment. This study proposed new next generation algorithm for constuction of high performance system from low specifications.

• Convergence Security Journal
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• v.11 no.4
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• pp.37-42
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• 2011

In this paper, the design methodology of information security is analyzed to implement the ubiquitous city (u-City). The definition, concept, and main u-services of u-City are presented. The main components, functio ns and offering services of u-City management center are presented, and the laws and network security requirements related to protect the personal information in collecting, processing, and exchanging are also analyzed. Three step security levels of Router/Switch, Firewall/VPN, and IPS are applied where main functions of in terception of abnormal packets($1^{st}$ level), access control for each service($2^{nd}$ level), and real-time network monitoring($3^{rd}$ level) are performed. Finally, application cases are presented to validate the security of personal information in providing the u-City services.

• Convergence Security Journal
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• v.22 no.2
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• pp.9-19
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• 2022

As the expansion of digital transformation, we are more exposed to the threat of cyber attacks, and many institution or company is operating a signature-based intrusion prevention system at the forefront of the network to prevent the inflow of attacks. However, in order to provide appropriate services to the related ICT system, strict blocking rules cannot be applied, causing many false events and lowering operational efficiency. Therefore, many research projects using artificial intelligence are being performed to improve attack detection accuracy. Most researches were performed using a specific research data set which cannot be seen in real network, so it was impossible to use in the actual system. In this paper, we propose a technique for classifying major attack keywords in the security event log collected from the actual system, assigning a weight to each key keyword, and then performing a similarity check using TF-IDF to determine whether an actual attack has occurred.