Federated Databases


This paper examines the concept of abstract authentication in federated database systems and the difficulties presented because the autonomously operated components may not know the identity of federation users. It looks at how one proposed solution is subject switching, where the federation translates the federated users identity to that of an agreed upon component subject and how this translation may be problematic due to not having component subjects with the same accesses requested by federation users. It proposes using proximity measures between requested and provided access and presents https://blablawriting.com/advantages-and-disadvantages-of-smartphones-essay two policy neutral algorithms to find proximity minimizing matches between a federation subject and a collection of component subjects. It also explores the concepts relating to federated databases, authorization and access and proposes some algorithms that will facilitate the subject switching method of reconciling access requirements. Outline Section 1 Abstract Background Introduction Characteristics of Federated Databases Homogeneous vs. Heterogeneous Databases Agents Agents and Meaning Perspective Types of Meaning Semantics Versus Pragmatics Context Coverage of Communicative Acts Mental Versus Social Agency Section 2 Federated Database Systems and Autonomy Design Autonomy Communication Autonomy Execution Autonomy Association Autonomy Authorization Autonomy Distribution Transparency (i.e., Schema Integration) Tightly Coupled Limited Tight Coupling Loosely Coupled Federated Database Security Authorization Standards for Authentication Decentralized vs. Centralized Authorization Access Controls User Based Access Control (UBAC) Policy Based Access Control Content Dependent Access Control (CDAC) Context Based Access Control (CBAC) View Based Access Control (VBAC) Discretionary Access Control (DAC) Mandatory Access Control (MAC) Role Based Access Control (RBAC) Section 3 Subject Switching Subject Mapping Algorithms Mapping Process Federation Mapping Process Federation Identity Component Mapping Process Minimum Disparity Measure Mapping Algorithm Create Object Sets Identify Component Subjects Evaluate Matching Subjects Access Disparity Measures Numerical Disparity Measure Comparing Disparity Measures to Approximate Measures Approximate Disparity Measure Comparison Motivating Example Access Compatibility Measures and Algorithms Compatibility of Permissions and their Disparity Measures Cardinality Express Specification Section 4 Metrics Algorithm 1 (Least Under Permitting Algorithm) Algorithm 2 (Least Over Permitting Algorithm) Approximations: Metrics And Mappings Approximate Mapping Algorithms Algorithm 3 (Approximate Under Permitting Algorithm) Algorithm 4 (Approximate Over Permitting Algorithm) Properties of Algorithms 3 and Algorithm 4 Multilevel Federations Non-Protected Database Axioms Deductive Channels Control Theorums Signalling Channels Control Theorums Cover Story Multiview Databases Languages Section 5 Conclusions and Ongoing Work References

From the Paper:

“Heimbingner and McLeod coined the phrase Federated Database System in 1985, and Seth and Larson later confirmed the formal definition. While the term has paperback writer karaoke been loosely used to refer to several different but related database systems, they more precisely and unanimously define it as a collection of cooperating but autonomous component database systems. [SL90] (According to Oszu 1999, semi-autonomous systems are termed federative DBMS). A federated database system represents a compromise between no integration, wherein users must explicitly interface with multiple autonomous databases, and total integration, where the autonomy of each distinct database is sacrificed in order to allow users access through a single global interface.”


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