Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality

The Study Based on Danger Model Inspired Algorithms

Author GuoChen
Tutor LiangJiaRong
School Guangxi University
Course Applied Computer Technology
Keywords Danger Model Artificial Immune Data Mining Immune Algorithm Association rules Cluster analysis Intrusion Detection
CLC TP309
Type Master's thesis
Year 2005
Downloads 165
Quotes 2
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In recent years , the biological immune system has become an emerging bioinformatics research topic . It is in addition to the nervous system , the body is able to specifically identify the self / non-self \Immune mode SNS the entire immune academia generally circulating a new theory , that is dangerous mode \This theory is pioneering Matzinger, that the immune system can not distinguish between the self / non-self (SNS) and the only distinction between the presence or absence of danger signals (danger signal) . This broke past tolerance of understanding , and questioned the basic theory of modern immunology traditional immune system only distinguish SNS \good explanation , has aroused the scholars widespread concern greater impact . Danger Model theory is not an extension of the immune response , but a new theoretical model . Although so far has not been the biological immune profession generally recognized , but completely artificial immunity for a simulation system for biological immune system can get rid of the shackles of the biological immune cognition , but expanded to the field of artificial immune . Based on the basis of the immune system and the risk of model theory , the article discusses the framework of the system of data mining theory , learn the science of life immune danger model immune model theory around dangerous patterns of immune - based algorithms , association rule mining and data clustering analysis data mining techniques , the proposed approach and its application of data mining algorithm based on the danger model immune .

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