【摘要】：隨著計(jì)算機(jī)信息化技術(shù)的飛速發(fā)展與普及,信息化技術(shù)在越來(lái)越多的的領(lǐng)域得到應(yīng)用與推廣。保密技術(shù)領(lǐng)域當(dāng)然也不例外,但隨著應(yīng)用管理的深入,問(wèn)題同時(shí)也顯現(xiàn)出來(lái),其中之一就是在信息化條件下文檔密級(jí)確定上存在的效率不高、準(zhǔn)確率有待提升、經(jīng)驗(yàn)傳承可持續(xù)性不強(qiáng)等問(wèn)題。目前很多單位定密工作都采用人工定密的方式,定密流程不規(guī)范且職責(zé)不明確,定密人的權(quán)限劃分不明確,甚至還存在"拍腦袋定密"的問(wèn)題。針對(duì)上述問(wèn)題,本文提出了一個(gè)基于關(guān)鍵詞相關(guān)度分析的定密方法,并在此基礎(chǔ)上設(shè)計(jì)了計(jì)算機(jī)輔助定密系統(tǒng),既能提高定密工作準(zhǔn)確性,又能很大程度提高工作效率。。本文首先對(duì)定密工作的相關(guān)背景進(jìn)行介紹,在對(duì)已有技術(shù)進(jìn)行介紹的基礎(chǔ)上,將基于詞激活力的文檔語(yǔ)義網(wǎng)絡(luò)應(yīng)用于文檔向量表示模型中,并在此基礎(chǔ)上計(jì)算文檔間的相似度,提出了一種利用分類(lèi)思想為待定密文檔確定密級(jí)方案。首先,論文研究了基于領(lǐng)域關(guān)鍵詞對(duì)文檔進(jìn)行分詞并進(jìn)行向量化表示方法;其次,基于詞激活力構(gòu)建文檔的語(yǔ)義網(wǎng)絡(luò),為文檔的向量化表示模型增加語(yǔ)義層特征;再次,以文檔的增強(qiáng)型向量表示及基礎(chǔ),計(jì)算待定密文檔與已定密樣本文檔的相似性;最后基于文本相似度確定待定密文檔的密級(jí)。最后,基于上述定密方法,本文設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)計(jì)算機(jī)輔助定密系統(tǒng)軟件,并對(duì)系統(tǒng)性能進(jìn)行驗(yàn)證。測(cè)試證明,本文提出的方法能夠有效輔助定密人員對(duì)目標(biāo)文檔進(jìn)行快速標(biāo)密,具有較高的準(zhǔn)確率、并且消耗時(shí)間較短,具有很高的實(shí)用價(jià)值。
[Abstract]:With the rapid development and popularization of computer information technology, information technology has been applied and popularized in more and more fields. Of course, the field of secret technology is no exception, but with the deepening of application management, the problems also appear. One of the problems is that the efficiency of document classification is not high and the accuracy rate needs to be improved under the condition of information technology. The sustainability of memory transmission is not strong and so on. At present, many units adopt the method of manual secret, and the process of keeping secret is not standard and the duty is not clear, the authority of the secret person is not clear, and even there is the problem of "beat the head and fix the secret". In order to solve the above problems, this paper presents a keying method based on keyword correlation analysis, and then designs a computer-aided encryption system, which can not only improve the accuracy of classified work, but also greatly improve the working efficiency. This paper first introduces the relevant background of the work of encryption. Based on the introduction of existing techniques, the semantic network of document based on word activation force is applied to the document vector representation model, and the similarity between documents is calculated on this basis. In this paper, a scheme of classifying secret documents to be determined by classification is proposed. Firstly, this paper studies the segmentation and vectorization of documents based on domain keywords. Secondly, the semantic network of documents is constructed based on word activation force, which adds semantic layer features to the vectorization model of documents. Based on the enhanced vector representation and the basis of the document, the similarity between the undetermined secret document and the pre-encrypted sample document is calculated. Finally, the secret level of the undetermined secret document is determined based on the text similarity. Finally, based on the above encryption method, a computer aided encryption system software is designed and implemented, and the performance of the system is verified. The test results show that the proposed method can effectively assist the steganographer to mark the target document quickly, has a higher accuracy, and consumes less time, so it has a high practical value.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：D631.31;TP391.7

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