發(fā)布時間：2018-05-31 23:42

  本文選題：人工免疫 + 抗體��； 參考：《電子科技大學》2014年碩士論文

【摘要】：隨著網(wǎng)絡信息技術的發(fā)展,讓人們對信息的感受越來越深刻,網(wǎng)絡的資源共享、信息傳播快捷、資源平等性特征越來越受到社會的認可。網(wǎng)絡信息給國家經(jīng)濟發(fā)展、國家安全、社會穩(wěn)定和軍事斗爭等方面帶來各種隱患。從當前的狀況看,主要體現(xiàn)在金融、電信和軍事等部門和行業(yè),其信息化程度已經(jīng)達到了很高的水平。論文通過分析研究提出了基于人工免疫的網(wǎng)絡入侵檢測模型,對人工免疫系統(tǒng)進行分析研究,通過對入侵在傳統(tǒng)網(wǎng)絡安全的影響,選擇性地研究動態(tài)克隆,并尋找入侵檢測體系的漏洞。漏洞包括自體集合臃腫、RCMF配對原則缺乏效率、含有很多缺陷、任意r位間隔匹配規(guī)則與分隔算法一起使用。本文提倡自體模式類提高信息檢測速率,也能完成自體集合的即時檢測,取得不錯的結(jié)果。本文描述了這個模型如何運作,并探討了自體模式類、記憶抗體類等檢測模塊的使用時間等問題。從生物免疫入侵監(jiān)測系統(tǒng)角度分析,主要是對生物的有機體進行仿真模擬,保證所受保護的系統(tǒng)能夠把非法行為和自我的合法行為進行區(qū)分。生物免疫系統(tǒng)主要是對外部病毒入侵進行干預,從而保護生物體的安全,生物體在對病原體進行抵抗之后就會產(chǎn)生一種自身的保護能力,也就是通常說的免疫能力。如果病原體在下次入侵生物體的事后,生物體能夠有效防御。
[Abstract]:With the development of the network information technology, people feel more and more deeply about the information. The network resources share, the information dissemination is quick, the resources equality characteristic is more and more recognized by the society. Network information brings various hidden dangers to national economic development, national security, social stability and military struggle. From the current situation, mainly reflected in the financial, telecommunications and military departments and industries, its information level has reached a very high level. In this paper, a network intrusion detection model based on artificial immunity is put forward, and the artificial immune system is analyzed and studied. Through the influence of intrusion on the traditional network security, the dynamic clone is studied selectively. And look for the vulnerability of intrusion detection system. Vulnerabilities include a lack of efficiency in the self-set bloated RCMF pairing principle, a number of flaws, and arbitrary r bit spacing matching rules used in conjunction with the partition algorithm. In this paper, the autologous pattern class is proposed to improve the rate of information detection, and can also complete the real-time detection of the autologous set, and good results are obtained. This paper describes how this model works and discusses the usage time of detection modules such as autologous pattern class memory antibody class and so on. From the point of view of biological immune intrusion monitoring system, the simulation of biological organism is carried out to ensure that the protected system can distinguish illegal behavior from self-lawful behavior. The biological immune system mainly interferes with the invasion of external virus to protect the organism. After the organism resists the pathogen, it will produce its own protective ability, that is, the immune ability. If the pathogen is able to defend itself effectively after the next invasion of the organism.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.08

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本文編號：1961881