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基于自適應權值的數據報指紋特征識別與發(fā)現
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(空軍工程大學(xué) 信息與導航學(xué)院,西安 710077)

作者簡(jiǎn)介:

琚玉建(1990-),男,河北衡水人,碩士研究生,主要從事協(xié)議識別與分析方向的研究。[FQ)]

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中圖分類(lèi)號:

TP393

基金項目:

國家自然科學(xué)基金(61202490)。


Identification of Data Fingerprint Characteristics Based on Self-adaptive Weights
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(Institute of Information and Navigation, Airforce Engineering University,Xi'an 710077,China)

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    摘要:

    面對未知協(xié)議下的報文數據,由于不能通過(guò)協(xié)議規范獲得相關(guān)特征,導致傳統的模式匹配方法在報文提取和協(xié)議識別過(guò)程中存在著(zhù)難題;提出了以數據挖掘理論為基礎的數據報指紋特征提取方案;在特征序列挖掘過(guò)程中引入自適應權值,對源數據中的序列模式進(jìn)行加權統計得到判決結果;再利用提升率對特征序列進(jìn)行關(guān)聯(lián)規則驗證,輸出數據報的指紋特征;最后,采用ARP廣播幀和ICMP數據包作為原始數據,測試提取數據報指紋特征;實(shí)驗結果表明,自適應權值的引入能夠有效減小報文中冗余數據段的干擾,提高指紋特征提取的正確率,并對報文的長(cháng)度變化有一定的魯棒性。

    Abstract:

    Faced with the packet data under unknown protocol, it brought problems in the process of packet extraction and protocol identification for the traditional pattern matching method, for the reason that it couldn’t obtain the relevant characteristics through protocol specification. A method for the extraction of datagram fingerprint characteristics was proposed based on data mining theory. In the process of characteristic sequence mining, it introduced the self-adaptive weights to get the verdict after the weighted statistics of sequence model from the original data. And it used Up-rate to verify the association rules between the characteristic sequence. Then fingerprint characteristics was exported. Finally, ARP broadcast frames and ICMP packets were used as raw data, and the fingerprint characteristics were extracted. Experiment results show that, the self-adaptive weights could reduce the interference of redundant data segments, improve the accuracy of the extraction of fingerprint characteristics, and have some robustness to the packet length change.

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引用本文

琚玉建,謝紹斌,張薇.基于自適應權值的數據報指紋特征識別與發(fā)現計算機測量與控制[J].,2014,22(7):2288-2290,2294.

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歷史
  • 收稿日期:2014-03-10
  • 最后修改日期:2014-04-12
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  • 在線(xiàn)發(fā)布日期: 2014-12-16
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