智能空间中安全规则生成算法研究

Research of Smart Space Security Rule Generation Algorithm

智能环境使越来越多的安全成为问题之一,在使用智能环境时,必须制定一些自己的规则,对普通用户来说,制定规则是件比较困难的事情。基于这种情况,可以应用机器学习和协同过滤的方式,给初始用户推荐一些规则格式和基本内容以作参考。这样初始用户可以节省很多时间。

It is very difficult for primary users to make up new policies by themselves. To deal with such situation, in this paper a fundamental framework is proposed to fully describe the generation process of policies in pervasive computing appli- cations. Furthermore, the collaborative filtering algorithms based on cosine vector are utilized to calculate characteristic simi- larity and classic similarity to aggregate the user identity similarity. The machine learning algorithm is adopted to generate the policies which will be recommended to the users. By utilizing the recommended policies, the users can finish the system policies setting process in a more quick and accurate way.