• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.1
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• pp.52-60
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• 2002

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. A computer virus is one of program in computer and has abilities of self reproduction and destruction like a virus of biology. And hacking is to rob a person's data in a intruded computer and to delete data in a Person s computer from the outside. To block hacking that is intrusion of a person's computer and the computer virus that destroys data, a study for intrusion detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive and negative selection for self recognition which have a similar function like T-cytotoxic cell that plays an important role in biological immune system. We embody a self-nonself distinction algorithm in computer, which is an important part when we detect an infected data by computer virus and a modified data by intrusion from the outside. And we showed the validity and effectiveness of the proposed self recognition algorithm by computer simulation about various infected data obtained from the cell change and string change in the self file.

• Convergence Security Journal
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• v.1 no.1
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• pp.57-68
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• 2001

Computer security is considered important because of the side effect generated from the expansion of computer network and rapid increase of the use of computer. Intrusion Detection System(IDS) has been an active research area to reduce the risk from intruders. In this paper, the Hybrid Intrusion Detection System(HIDS) based biometric immuntiy collects and filters audit data by misuse detection is innate immune, and anomaly detection is acquirement immune in multi-hosts. Since, collect and detect audit data from one the system in molt-hosts, it is design and implement of the intrusion detection system which has the immuntiy the detection intrusion in one host possibly can detect in multi-hosts and in the method of misuses detection subsequently.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.359-361
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• 2003

기존의 오용 기반 침입탐지 시스템에서는 변형되거나 새로운 해킹 방법에 대한 지속적인 탐지패턴을 지원해 주어야 하는 단점이 있다. 이러한 변형되거나 알려지지 않은 공격에 대한 탐지는 비정상행위 탐지 방법으로 본 논문에서는 컴퓨터 면역시스템의 부정 및 긍정선택 방법과 가중치의 특성을 이용하였다. 즉, 알리진 공격으로부터 특성을 추출하여 알려지지 않은 공격에 대응할 수 있도록 특성을 변경하는 방법을 사용하였다. 이러한 방법으로 공격 특성을 추출하고 특성 추출에 사용하지 않은 다른 공격에 대한 탐지를 실험한 결과 u2r 공격인 buffer overflow 공격과 race condition 공격에 대하여 정확한 탐지가 이루어짐을 보였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.6
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• pp.12-20
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• 1998

As an approach to develope a control system with high robustness in changing control environment conditions, this paper will propose a robust control system, using multilayer neural network and biological immune system. The proposed control system adjusts weights of the multilayer neural network(MNN) with the immune algorithm. This algorithm is made up of two major divisions, the innate immune algorithm as a first line of defence and the adaptive immune algorithm as a barrier of self-adjustment. Using the proposed control system based on immune algorithm, we will work out a design for the controller of a robot manipulator. And we will demonstrate the effectiveness of the control system of robot manipulator with computer simulations.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.754-756
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• 2001

컴퓨터 사용증가와 함께 컴퓨터 바이러스 또한 증가하고 있다. 바이러스 검사 프로그램은 바이러스의 특정 문자열(signature)을 찾아 문자열 검색도구와 프로세스의 행동을 모니터링 하는 감시도구(general purpose monitor)의 두 가지 형태가 있으며, 각각은 미 발견 바이러스에 대한 취약성과 시스템 오버헤드를 단점으로 가지고 있다. 또한, 최근에 제안된 면역 시스템은 계산 복잡도나 시스템 구성면에서 지나친 부담을 가지고 있다. 본 논문에서는 바이러스들의 행위를 추출 할 수 있도록 하기 위하여, 언어 압축 알고리즘을 이용하여 바이러스 행동 패턴을 추출하는 방법을 고안하였고, 몇 가지 바이러스를 이용하여 실험해 보았다. 그 결과 실제 학습에 이용한 바이러스가 아니더라도 유사한 동작을 하는 바이러스에 대해서는 면역성을 가질 수 있었다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.17-24
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• 2009

Increasing use of information system has led to larger amount of developing expenses and demands on software. Until recent days, the model using regression analysis based on statistical algorithm has been used. However, Machine learning is more investigated now. This paper estimates the software cost using SVR(Support Vector Regression). a sort of machine learning technique. Also, it finds the best set of parameters applying immune algorithm. In this paper, software cost estimation is performed by SVR based on immune algorithm while changing populations, memory cells, and number of allele. Finally, this paper analyzes and compares the result with existing other machine learning methods.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.167-170
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• 2001

인터넷 보안문제 해결을 위해서 침입탐지 시스템 및 바이러스 백신 등이 연구되어 왔고, 생체면역을 응용한 보안체계가 연구되고 있으나, 컴퓨터 자원소비와 비실시간대응의 문제점을 가지고 있다. 이에 Antibody Layer[1]는 인공면역과 Host alliance를 기반으로 하여 보안문제 해결에 효율성과 정확성을 제공하였다. 본 논문에서는 Antibody Layer의 Host alliance를 위한 Cooperation Protocol에 대하여 논하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.353-360
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• 2002

Methods for automatic tuning of PID controllers have been on of the results of the active research on control. The proposed controller also is auto-tuning of PID controller The proposed immune algorithm has an uncomplicated structure and memory-cell mechanism as the optimization algorithm which imitates the principle of humoral immune response. We use the proposed algorithm to solve optimization of PID controller parameters. Up to now, the applications of immune algorithm have been optimization problems with non-varying system parameters. Therefore the usefulness of memory-cell mechanism in immune algorithm is without. And research of memory-cell mechanism does not give us entire satisfaction. This paper proposes the immune algorithm using a memory-cell mechanism which can be the application of system with nonlinear varying parameters. To verify performance of the proposed immune algorithm, the speed control of nonlinear DC motor are performed. The results of Computer simulations represent that the proposed immune algorithm shows a fast convergence speed and a good control performances under the varying system parameters.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.369-372
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• 2009

컴퓨터의 확대 및 컴퓨터 이용의 급격한 증가에 따른 부작용으로 컴퓨터 보안문제가 중요하게 대두되고 있다. 이에 따라 침입자들로부터 침입을 줄이기 위한 침입탐지시스템에 관한 연구가 활발하다. 더욱이 보안을 요구하는 시스템들의 환경이 다양하여 그에 적합한 보안정책을 수립하여 관리하기가 어려워지고 있다. 따라서 침입자들로부터 위험을 줄이기 위해 침입탐지 및 대응 위한 보안정책기반 모텔에 관한 연구가 활발하다. 본 논문은 오늘날의 정보통용용에서 침입 탐지요구사항의 복잡한 문제를 해결하기 위한 침입탐지 메카니즘의 설계 방안을 제시한다. 탐지대상을 특권프로세스가 수행할 때 발생하는 시스템 호출 순서 중 비정상적인 시스템 호출을 탐지하여 이를 분산된 각각의 침입탐지 시스템들아 서로 동적으로 공유하여 침입에 대한 대응력을 향상시키는 침입탐지시스템을 설계하고 프로토타입으로 구현하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.51-58
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• 2004

This paper proposes a new artificial immune approach to on-line hardware test which is the most indispensable technique for fault tolerant hardware. A novel algorithm of generating tolerance conditions is suggested based on the principle of the antibody diversity. Tolerance conditions in artificial immune system correspond to the antibody in biological immune system. In addition, antigen presenting cell (APC) is realized by Quine-McCluskey method in this algorithm and tolerance conditions are generated through GA (Genetic Algorithm). The suggested method is applied to the on-line monitoring of a typical FSM (a decade counter) and its effectiveness is demonstrated by the computer simulation.