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本帖產(chǎn)生 1 個翻譯EPI ，點擊這里進(jìn)行查看

孫飛龍

金蟲 (小有名氣)

應(yīng)助: 0 (幼兒園)
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蟲號: 2242829
注冊: 2013-01-15
性別: GG
專業(yè): 計算機應(yīng)用技術(shù)

[求助] 幫忙翻譯個摘要

當(dāng)前，電子商務(wù)、電子政務(wù)和金融銀行業(yè)蓬勃發(fā)展，但如何保障電子商務(wù)等領(lǐng)域的安全性成為了人們關(guān)注的熱點。為了化解電子商務(wù)中所使用密鑰的均勻隨機性與用戶很難記憶密鑰之間的矛盾，并且解決表征用戶身份的信息與密鑰間缺乏關(guān)聯(lián)的問題，本文以生物特征識別中的指紋特征處理技術(shù)為基礎(chǔ)，生成指紋密鑰，并將其運用在數(shù)字簽名方法中。
首先，本文研究了基于細(xì)節(jié)的指紋圖像識別處理方法。由于該方法對同一枚指紋每次提取的特征值存在差異，組成的特征值序列長度不固定，及指紋特征值既可能存在偽指紋特征值也可能遺漏真實特征值等問題，導(dǎo)致該方法提取的指紋特征值生成指紋密鑰難以應(yīng)用。針對這些問題，本文采用了基于結(jié)構(gòu)的指紋圖像處理方法。
其次，本文研究了一種偽隨機指紋密鑰生成方法。該方法特點是，采用模糊提取技術(shù)從指紋特征值中生成指紋密鑰后，當(dāng)再次輸入的指紋特征值與初始輸入的指紋特征值來自同一手指但存在差異時，能夠恢復(fù)出與初始指紋密鑰相同的密鑰。將該指紋密鑰生成方法應(yīng)用到數(shù)字簽名方法中，有效強化了數(shù)字簽名的安全性。
最后，本文采用橢圓曲線數(shù)字簽名方案、Hash函數(shù)、密鑰交換協(xié)議等技術(shù)構(gòu)造了基于指紋的數(shù)字簽名方法，并通過實驗證明了方案的正確有效性。在此基礎(chǔ)上，為解決數(shù)字簽名的密鑰泄露問題，本文提出了一種強前向安全數(shù)字簽名方法，并證明了該方法的有效性、安全性和抗偽造性。
通過實驗表明本文提出的數(shù)字簽名方法在電子商務(wù)、金融、銀行交易等領(lǐng)域有較強的理論與實用價值。

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能學(xué)習(xí)更多東西是好事

1樓 2015-01-15 16:00:06

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武漢一心一譯

捐助貴賓 (著名寫手)

翻譯EPI: 502
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孫飛龍: 金幣+50, 翻譯EPI+1, ★有幫助 2015-01-24 19:52:46
孫飛龍(RXMCDM代發(fā)): 金幣+10 2015-01-25 02:02:11

Currently, the e-commerce, e-government affair system and financial and banking business are getting a momentum, therefore the security issue of e-commerce has become the focus of people’s attention. In order to ease the conflict between the difficulty of remembering the secret key and the randomness of secret key’s changement in e-commerce, as well as to solve insufficient relevance between secret key and users’ identity information, in this paper, based on the fingerprint feature processing technique of biometric features recognition, the fingerprint secrete key was generated and used in digital signature method.

Firstly, the paper analyzed the image processing method based on fingerprint detail recognition, however the fingerprint secrete key, generated according to the related fingerprint characteristic value by using this method, can hardly be valid due to problems including the differences of characteristic values of the same fingerprint, the uncertainty of length of characteristic values, and the possibility of faking or missing characteristic values.
As a result, this paper adopted the image processing method based on fingerprint texture

Secondly, this paper made research on a generated method of fake random fingerprint secrete key. This method can automatically modify and regenerate the initial secrete key, when the second-time input fingerprint characteristic value and initial characteristic value was from the same finger but different in values after the fingerprint secrete key was generated from characteristic value using fuzzy extraction technology. By integrating the generating method of fingerprint secrete key into the digital signature method, the security level of digital signature method can be effectively increased.

At last, by adopting the elliptic curve digital signature method, Hash function, and secrete key exchanging protocol, the fingerprint-based digital signature method was established, which was also demonstrated in terms of effectiveness through experiments. On this basis, in order to work out the key exposures of digital signature method, a strong forward security digital signature method was proposed and demonstrated in terms of effectiveness, security, and anti-fake property in this paper.

Through experiments, it shows that the digital signature method generated in the paper possesses a strong value theoretically and practically in e-commerce, financial and bank business.

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2樓2015-01-23 18:26:28