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当前，电子商务、电子政务和金融银行业蓬勃发展，但如何保障电子商务等领域的安全性成为了人们关注的热点。为了化解电子商务中所使用密钥的均匀随机性与用户很难记忆密钥之间的矛盾，并且解决表征用户身份的信息与密钥间缺乏关联的问题，本文以生物特征识别中的指纹特征处理技术为基础，生成指纹密钥，并将其运用在数字签名方法中。 首先，本文研究了基于细节的指纹图像识别处理方法。由于该方法对同一枚指纹每次提取的特征值存在差异，组成的特征值序列长度不固定，及指纹特征值既可能存在伪指纹特征值也可能遗漏真实特征值等问题，导致该方法提取的指纹特征值生成指纹密钥难以应用。针对这些问题，本文采用了基于结构的指纹图像处理方法。 其次，本文研究了一种伪随机指纹密钥生成方法。该方法特点是，采用模糊提取技术从指纹特征值中生成指纹密钥后，当再次输入的指纹特征值与初始输入的指纹特征值来自同一手指但存在差异时，能够恢复出与初始指纹密钥相同的密钥。将该指纹密钥生成方法应用到数字签名方法中，有效强化了数字签名的安全性。 最后，本文采用椭圆曲线数字签名方案、Hash函数、密钥交换协议等技术构造了基于指纹的数字签名方法，并通过实验证明了方案的正确有效性。在此基础上，为解决数字签名的密钥泄露问题，本文提出了一种强前向安全数字签名方法，并证明了该方法的有效性、安全性和抗伪造性。 通过实验表明本文提出的数字签名方法在电子商务、金融、银行交易等领域有较强的理论与实用价值。 |
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武汉一心一译 
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孙飞龙: 金币+50, 翻译EPI+1, ★有帮助 2015-01-24 19:52:46
孙飞龙(RXMCDM代发): 金币+10 2015-01-25 02:02:11
孙飞龙: 金币+50, 翻译EPI+1, ★有帮助 2015-01-24 19:52:46
孙飞龙(RXMCDM代发): 金币+10 2015-01-25 02:02:11
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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. |
2楼2015-01-23 18:26:28