Role mining tools

Recently, there are many approaches proposed for mining roles using automated technologies. However, it lacks a tool set that can be used to aid the application of role mining approaches and update role states. Role mining is the process of analyzing user-to-resource mapping data to determine or modify user permissions for role-based access control (RBAC) in an enterprise. Beim Role Mining wird beispielsweise ermittelt, welche Rechte eine bestimmte Rolle (und deren Benutzer) zu bestimmten Zeiten hatten. In dieses Analyse- Verfahren fließt auch die Organisationsstruktur des Unternehmens ein.

Anhand dieser Struktur und den aktuell vergebenen Rechten ermittelt das Tool.

It provides the implementation of some classic role mining algorithms for generating roles and a role state editor for updating role state. RMiner, which is based on the . Такая модель может устареть ещё до начала ее использования. Одно из решений этой проблемы — инструменты построения ролевой модели ( Role mining tools ). Инструменты эти могут сильно отличаться по логике своей работы, стоимости, юзабилити и т.д., но принцип работы и цели у . This book explores existing role mining algorithms and offers insights into the automated role design approaches proposed in the literature. Alongside theory, this book acts as a practical guide for using role mining tools when implementing RBAC.

Besides a comprehensive survey of role mining techniques deeply rooted in . Still, existing tools only focus on the technical aspects of role mining.

Our experience underlines that you need to get your non-IT experts on board when you are doing the role engineering exercise. We therefore designed Controle not as a technical tool , but as a collaboration platform. It lets your business users comment on . Beside a comprehensive survey of role mining techniques deeply rooted in . The core of this paper creates a link between the use of well established data mining technology and RBAC. We present a process for detecting patterns in a data base of access rights and for deriving enterprise roles from these patterns.

SAM Role Miner) is described. In this paper, we present the ORCA role mining tool and its algorithm. The algorithm performs a cluster analysis on permission assignments to build a hierarchy of permission clusters and . We offer a graphical way to effectively navigate the result of any existing role mining algorithm, showing at glance what it would take a lot of data to expound.

Moreover, we allow to visually identify meaningful roles within access control data without resorting to traditional role mining tools. Visualization of the user- permission . One of the largest issues facing an organizations identity and access management project is the task of creating appropriate management and business roles and the access those roles should provide. We can all take a look at the structure of a company and say they should have an IT role , a Sales role , . By deriving enterprise roles from these patterns, a role mining tool can quickly . Role – Mining – Tools ordnen die einzelnen Accounts den konkreten Benutzern zu, um so die Frage zu beantworten, welche Berechtigungen ein Benutzer im Unternehmensnetzwerk hat.

Blinde Flecken und „Karteileichen“, das heißt verwaiste Benutzerkonten oder Berechtigungen, zeigt dann ein gesonderter . Auf dem Markt gibt es mehrere Anbieter, die in den letzten Jahren Role Mining Tools entwickelt haben, mit deren Hilfe.

Clustering-‐ Techniken und statistische Analysen Mitarbeiter anhand der vergebenen Berechtigungen zu Rollenkandidaten gebündelt werden. Data mining techniques can be used to automatically propose candidate roles, leading to a class of tools and methodologies referred to as role mining. This thesis is devoted to role mining techniques that help security analysts and administrators maximize the benefits of adopting RBAC. To this aim, we consider the role .