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  本文選題：人工免疫 + SNS模型��； 參考：《武漢科技大學》2010年碩士論文

【摘要】： 隨著人類對生物細胞深入的了解以及生物體能很好的防御病毒的秘密逐步被揭開,生物體的防病毒的能力也在計算機安全中被模仿和借鑒。目前,大部分人工免疫的原理都是建立在傳統(tǒng)的“self-nonself”(SNS)識別模式的基礎(chǔ)上,SNS模式的優(yōu)點在于簡單和易于理解,且對于已知的自體或者非自體,具有很高的識別效率。但由于SNS模型本身的設(shè)計缺陷,它對于未知的自體或者非自體不能很好的識別,即具有很低的識別率和高誤報率。因此,在本文中引入危險理論,該理論認為機體內(nèi)部的危險信號才是引發(fā)免疫應答的關(guān)鍵,因而能很好的解決SNS模型的問題。 本文首先詳細地介紹了一種生物體重要的抗原提呈細胞(APC),即樹突細胞(DCs),以及樹突細胞在人工免疫中的應用,然后分析了SNS模型和危險理論的優(yōu)缺點,充分地利用SNS模型簡單迅速的檢測已知抗原的優(yōu)點,以及危險理論能檢測出未知抗原的優(yōu)點,設(shè)計出一種基于兩種模式相結(jié)合的人工免疫模型,新模型不僅具有傳統(tǒng)SNS模型能高效識別已知抗原的優(yōu)勢,而且具有危險理論較高的檢測率和低誤報率的特點。最后的實驗分析表明,新的模型高效快速,且具有高檢測率和低誤報率。
[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.
【學位授予單位】：武漢科技大學
【學位級別】：碩士
【學位授予年份】：2010
【分類號】：R392

【引證文獻】

相關(guān)碩士學位論文 前1條

1 李輝;基于危險模式的免疫網(wǎng)絡故障檢測模型研究[D];太原理工大學;2012年

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本文編號：2057986