共享平台数据属性重合下的LDAP多身份认证

Sharing Platform Data Attribute Coincidence of LDAP Many Identity Authentication

基于LDAP的多校共享平台中,通常情况下是利用身份信息匹配算法进行身份数据认证的。在海量用户都使用该平台的情况下,将造成身份数据重合,导致身份信息不明确,从而无法实现准确的身份认证。为了避免上述缺陷,提出了一种基于LDAP的多校共享平台中多属性身份数据认证方法。构造基于LDAP的多校共享平台的身份认证协议,为身份认证提供一个有效的途径。在用户海量身份数据中,提取用户身份认证信息。根据上述身份认证信息,进行多属性身份数据认证。实验结果表明,利用上述方法能够提高基于LDAP的多校共享平台中多属性身份认证的准确性,取得了令人满意的效果。

Based on LDAP many school sharing platform, usually is the use of identity information matching algorithm of identity authentication data. In mass users are using this platform, will cause identity data coincidence, leading to identity information is not clear, thus unable to realize accurate identity authentication. In order to avoid the defect, the article puts forward a method based on LDAP many school sharing platform identity authentication method multiple attribute da- ta. Structure based on LDAP many school of sharing platform of identity authentication protocol for identity authentication provides an effective way. In the user identity mass data, extracting user identity authentication information. According to the above identity authentication information, carries on the multiple attribute identity authentication data. The experi- mental results show that using the above methods can improve the based on LDAP school sharing platform multiple at- tribute identification accuracy, has made the satisfactory effect.