Role mining in business : taming role-based access control administration /

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With continuous growth in the number of information objects and the users that can access these objects, ensuring that access is compliant with company policies has become a big challenge. Role-based Access Control (RBAC) -- a policy-neutral access control model that serves as a bridge between acade...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Colantonio, Alessandro
Otros Autores: Di Pietro, Roberto (Computer scientist), Ocello, Alberto
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2012.
Temas:
Computers > Access control.
Computer security.
Computer networks.
Ordinateurs > Accès > Contrôle.
Sécurité informatique.
Réseaux d'ordinateurs.
COMPUTERS > Database Management > Data Mining.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Managing access rights. 1.1. Challenges of controlling access. 1.2. Access control concepts. 1.3. Access control models. 1.4. Final remarks
  • 2. Role-based access control. 2.1. RBAC basics. 2.2. RBAC standards. 2.3. Advantages of RBAC. 2.4. Obstacles to migrating to RBAC. 2.5. Final remarks
  • 3. Role engineering. 3.1. Modeling roles. 3.2. Role engineering approaches. 3.3. Parts of a role engineering task. 3.4. Guidelines. 3.5. Final remarks
  • 4. A step-to-step methodology for role mining. 4.1. Role mining steps. 4.2. Understanding access control data. 4.3. Data preparation. 4.4. Role definition. 4.5. Final remarks
  • 5. The hidden structure of roles. 5.1. Formalization of the role mining problem. 5.2. Graph-based approach. 5.3. Matrix-based approach. 5.4. Permission-powerset lattice. 5.5. Final remarks
  • 6. Enumerating candidate roles. 6.1. Eliciting patterns from access data. 6.2. Minimizing the number of roles. 6.3. Estimating the minimum number of roles. 6.4. Final remarks
  • 7. Minimizing the effort of administering RBAC. 7.1. A cost-driven approach to role engineering. 7.2. Problem formalization. 7.3. Finding optimal role-sets. 7.4. Finding sub-optimal role-sets. 7.5. Final remarks
  • 8. Measuring the meaning of roles. 8.1. Meaningful roles. 8.2. Modeling business. 8.3. Measuring the meaning of roles. 8.4. Spread indices in action. 8.5. Final remarks
  • 9. Visual role mining. 9.1. Role visualization problem. 9.2. Matrix sorting algorithm. 9.3. Visual elicitation of roles. 9.4. A visual approach to role engineering. 9.5. Experimental results. 9.6. Final remarks
  • 10. Splitting up the mining task. 10.1. A divide-and-conquer approach. 10.2. Complexity measures. 10.3. Similarity. 10.4. Minability. 10.5. Considerations about minability and similarity. 10.6. Conditioned indices. 10.7. Application to a real case. 10.8. Final remarks
  • 11. Stable roles. 11.1. Stable assignments and stable roles. 11.2. Pruning unstable assignments. 11.3. Stability and mining complexity. 11.4. Pruning examples. 11.5. Final remarks
  • 12. Imputing missing grants. 12.1. Missing values. 12.2. AB[symbol]A : Adaptive Bicluster-Based Approach. 12.3. Algorithm description. 12.4. Testing AB[symbol]A. 12.5. Final remarks
  • 13. The risk of meaningless roles. 13.1. Assessing risky system configurations. 13.2. Risk model. 13.3. Risk metrics. 13.4. Analysis of a real case. 13.5. Final remarks
  • 14. Ranking users and permissions. 14.1. Stability. 14.2. Framework description. 14.3. Experimental results. 14.4. Final remarks.

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