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随着电力信息化发展,特别是电力信息管理系统和电力自动化两部分之间的信息融合,电力企业的信息安全和网络安全越来越重要。为了弥补基于口令技术的身份认证的不足,完善网络安全系统之间的联动,提出利用键盘使用特征结合神经网络技术实现身份认证的新方法。该方法通过提取与用户有关的20个特征,再用反向传播(BP)神经网络建立分类器,实现用户辨别。实验结果表明,该方法具有较高的用户辨别能力,并具有隐秘性强、成本低廉的特点。
With the development of power informatization, especially the information fusion between power information management system and power automation, the information security and network security of power enterprises are more and more important. In order to make up for lack of authentication based on password technology and perfecting the linkage between network security systems, a new method of using identity of keyboard using neural network technology is proposed. By extracting 20 features related to users, this method establishes a classifier by back propagation (BP) neural network to realize user discrimination. The experimental results show that this method has a high user identification ability, and has the characteristics of strong secrecy and low cost.