Evaluating the Degree of Trust Under Context Sensitive Relational Database Hierarchy Using Hybrid Intelligent Approach

Evaluating the Degree of Trust Under Context Sensitive Relational Database Hierarchy Using Hybrid Intelligent Approach

Manash Sarkar (Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India), Soumya Banerjee (Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India) and Aboul Ella Hassanien (Cairo University, Cairo, Egypt, & Computers and Information Faculty, Beni Suef University, Beni Suef, Egypt, & Scientific Research Group in Egypt (SRGE), Giza, Egypt)
Copyright: © 2015 |Pages: 21
DOI: 10.4018/ijrsda.2015010101
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Abstract

Trust is a binary value either 0 or 1which is not measurable in real application. An entity can either trust another entity completely or do not trust at all. Trust between different entities in generalization-specialization relational model in database varies with respect to adjacent level of hierarchy. Trust value among entities depends not only on hierarchy level but also the context in which entities belong. In this paper the authors propose a model that allows evaluating trust relationships between two entities in the same context. Basically the trust depends on parameters like knowledge, experience and recommendation. In real application it is not always possible to have prior knowledge about mentioned entities. Extending this theory, it is shown that how the trust relationships is evaluated between different entities in different contexts of specialization level. As the trust represents uncertainty therefore, fuzzy logic is used to overcome the concept of binary value for trust. Considering the dynamic attributes of an entity based system, an appropriate agent based methodology could be incorporated. This paper introduced a model called FACO based on Fuzzy logic and Ant colony to calculate both the trust and the updated trust value among entities.
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Introduction

The term trust is crucial for an entity to depend on another entity when inheritance is applied. At the time of inheritance a system is called a trusted system when trust relation is applicable among a subclass and a super class within the same context. If the context is changed then the trust value between same entities will also differ from the previous context. A system is called a secure system when every entity lies within a same trust domain. The information about the entities is secured if there exists a trust relationship between entities of that context. The trust value which is not an absolute quantity depends on parameters like level of hierarchy, level of adjacency and semantically equivalence of the context. The trust relationship is also build within a specialization relationship of a database system. Attributes and tuples are considered as two dimensions of a standard relation in a Context Sensitive Model. If the orthogonal time dimension is added with the existing relation then the relation is called a temporal relation (Jensen & Snodgrass, 1994). There are no restrictions along with transaction time and corresponding valid time in specialization relationship in certain databases. Interrelationship between valid time and transaction time among entities are defined as a specialized temporal relationship. Specialization is a unique process on database table where maximum discrepancy among entities is discriminate by identifying their characteristics.

Certain constraints for specialization are the relationship among super class and subclass which are one-to-one. All entities in super class must be a member of a subclass and super class may include an overlapping or discrete subclass (Silberschatz et al. 2006). The concept of super class and subclass is also applicable in Specialization/Generalization relational model in database system. There are different constraints on specialization and generalization relation. In Specialization/ generalization relation, super class and sub class may be or may not be a disjoint set. Hence trust is also a considerable parameter for reliable relational model in database system. Database security (Basharat et al. 2012) is a major concerned as evidence judging by the number of increasing number of reported events of loss or unauthorized disclosure of sensitive data

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