Welcome to RMiner

RMiner provides user a visual role mining and role state updating platform. It provides the implementation of some classic role mining algorithms for generating roles and a role state editor for updating role state. In addition, RMiner offers some abstract interfaces that user can add new algrothims based on them. Users will easily discover a new algorithm's difference from others using the visualization tools. All these design of tool set are learned from WEKA.

The project includes seven algrothims currently:

The design of RMiner is according to the building process of an RBAC system. Users can use the platform to build an RABC system or do comparison experiments to analysis the difference between role mining algorithms. This platform is unified verification that simplifies the process of role mining research and experimental works.

Please click here to download a release of RMiner.

Please click here to download all source code of RMiner.

Please click here to download a user's manual of RMiner.

All above resources can be downloaded from http://code.google.com/p/rminer.

In order to maintain independence and generality of data set for role mining process, we develop the assignment relationship with attribute file format (TARF) based on attribute relation file format (ARFF) of WEKA. Therefore, you need to transform the other file format of user to permission relationship to TAFF format when starting.

Fig1~5 is the preprocess  of RMiner. Fig1 shows the data loading process. Button "Open File" helps you load the data. Fig2~4 show that you can statistics and modify the data after loading the data. Button "Users" analysises the distribution of attributes in the users as shown in Fig 2. Fig3 shows  Permission-Attribute distribution which is called by the "Permissions" button. We also provide permission update fucntion for data modification, and employ button "UA" to do this as Fig4. Fig5 shows that you can modify the data accross"Edit" button.Of course , you should undermine the TARF format in new file.

In Panel "RoleMining",as  Fig6 ,the process of role mining will be finished. Fig7 shows  role mining algrothims we have been implemented,and button"choose" will list them. Similar to WEKA,  the algrothim arguments can be configured  as Fig8.According to algorithm and configuration, We will output the results in Fig9 after runing it by clicking "start" button. Based on it , button "Accuracy" can be used to analysis the role state accuracy which is  similar to  Fig10.

The role assignment function is implemented in panel"Role Assignment" as Fig11. In Fig12,three role assignment algorithm is listed in current. You can choose anyone to do this and will get the results likely Fig13. Of course, if these outputs are not satisfied with users security need, user can update them by a visualization tool, role editor, as shown in Fig14.