The V-dctector algorithm is a real-valued negative selection algorithm with variable-sized detectors. In this paper, several flaws existed in the algorithm are investigated and analyzed. An improved V-detector algorit...
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The V-dctector algorithm is a real-valued negative selection algorithm with variable-sized detectors. In this paper, several flaws existed in the algorithm are investigated and analyzed. An improved V-detector algorithm is also proposed and implemented. The improved algorithm divides the collection of self samples into boundary selves and non-boundary selves. The identifying and recording mechanism of boundary self are introduced during the generation of detectors. The experiment results showed that the new algorithm covers the holes existed in boundary between self region and non-self region more effectively than traditional negative selection algorithm does. In the meantime, the new algorithm can reduce the number of detectors under the circumstance of ensuring detection performance.
Artificial immune system(AIS) mimicks the superior properties of biological immune system and provides an effective method in intelligent computing and intelligent system *** the disease-causing mechanisms of immune p...
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Artificial immune system(AIS) mimicks the superior properties of biological immune system and provides an effective method in intelligent computing and intelligent system *** the disease-causing mechanisms of immune pathology have led to sever security problems in artificial immune *** the paper,we analyzed the basic principles of immune protection and immune pathology of biological system considering its application in artificial immune *** we take artificial immune defending system as an example to analyze the cause and potential influence of immune pathology on *** to the different security problems from immunodeficiency,hypersensitivity and autoimmunity,we put forward corresponding measures to reinforce the security,robustness and stability of artificial immune system and thus effectively avoid these problems.
In this paper we present a framework of evolvingintrusion detection system (IDS) based on immuneprinciple. At first we describe the research and trend ofintrusion detection system. Then we introduce the researchon imm...
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In this paper we present a framework of evolvingintrusion detection system (IDS) based on immuneprinciple. At first we describe the research and trend ofintrusion detection system. Then we introduce the researchon immunity-based intrusion detection system. Next aframework of intrusion detection system is presentedbased on the immune principle described above. Finally,the paper is concluded with general comments concerningour framework.
This paper presents a methodology for diagnosis of faults and power quality problems in primary distribution feeders. The input data are the currents of the feeder per phase, monitored only in the substation. An artif...
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This paper presents a methodology for diagnosis of faults and power quality problems in primary distribution feeders. The input data are the currents of the feeder per phase, monitored only in the substation. An artificial immune system was developed using the negative selection algorithm to detect and classify the faults and power quality problems. The main application of the software is to assist in the operation during a fault and supervise the power quality problem. A 103-bus non-transposed real feeder is used to evaluate the proposed algorithm. The results show that the algorithm is effective in its proposed and it has great potential for on-line applications.
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