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基于危险理论的人工免疫模型研究

发布时间:2018-06-23 18:16

  本文选题:人工免疫 + SNS模型 ; 参考:《武汉科技大学》2010年硕士论文


【摘要】: 随着人类对生物细胞深入的了解以及生物体能很好的防御病毒的秘密逐步被揭开,生物体的防病毒的能力也在计算机安全中被模仿和借鉴。目前,大部分人工免疫的原理都是建立在传统的“self-nonself”(SNS)识别模式的基础上,SNS模式的优点在于简单和易于理解,且对于已知的自体或者非自体,具有很高的识别效率。但由于SNS模型本身的设计缺陷,它对于未知的自体或者非自体不能很好的识别,即具有很低的识别率和高误报率。因此,在本文中引入危险理论,该理论认为机体内部的危险信号才是引发免疫应答的关键,因而能很好的解决SNS模型的问题。 本文首先详细地介绍了一种生物体重要的抗原提呈细胞(APC),即树突细胞(DCs),以及树突细胞在人工免疫中的应用,然后分析了SNS模型和危险理论的优缺点,充分地利用SNS模型简单迅速的检测已知抗原的优点,以及危险理论能检测出未知抗原的优点,设计出一种基于两种模式相结合的人工免疫模型,新模型不仅具有传统SNS模型能高效识别已知抗原的优势,而且具有危险理论较高的检测率和低误报率的特点。最后的实验分析表明,新的模型高效快速,且具有高检测率和低误报率。
[Abstract]:With the deep understanding of biological cells and the secret that organisms can defend against viruses gradually, the ability of anti-virus of organisms is imitated and used for reference in computer security. At present, most of the principles of artificial immunity are based on the traditional "self-nonself" recognition pattern. The advantages of this pattern are that it is simple and easy to understand, and that it has a high recognition efficiency for both self and non-self. However, due to the design defects of SNS model itself, it can not be well recognized for unknown autologous or non-autologous, that is, it has a very low recognition rate and high false alarm rate. Therefore, the hazard theory is introduced in this paper, which holds that the internal danger signal is the key to trigger the immune response, so it can solve the problem of SNS model well. In this paper, an important antigen presenting cell (APC), dendritic cell (DCs), and the application of dendritic cell in artificial immunity are introduced in detail, and then the advantages and disadvantages of SNS model and hazard theory are analyzed. Taking full advantage of the advantages of SNS model to detect known antigens quickly and simply, as well as the advantages of hazard theory to detect unknown antigens, an artificial immune model based on the combination of two models was designed. The new model not only has the advantage of traditional SNS model to identify known antigens efficiently, but also has the characteristics of high detection rate and low false alarm rate of hazard theory. Finally, the experimental results show that the new model is efficient and fast, and has high detection rate and low false alarm rate.
【学位授予单位】:武汉科技大学
【学位级别】:硕士
【学位授予年份】:2010
【分类号】:R392

【引证文献】

相关硕士学位论文 前1条

1 李辉;基于危险模式的免疫网络故障检测模型研究[D];太原理工大学;2012年



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