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A Computational Dynamic Trust Model for User Authorization
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A Computational Dynamic Trust Model for User Authorization

Category : Networking Project


Sub Category : DOTNET


Project Code : ITDNW05


Project Abstract

A COMPUTATIONAL DYNAMIC TRUST MODEL

FOR USER AUTHORIZATION

ABSTRACT

Development of authorization mechanisms for secure information access by a large community of users in an open environment is an important problem in the ever-growing Internet world. In this paper we propose a computational dynamic trust model for user authorization, rooted in findings from social science. Unlike most existing computational trust models, this model distinguishes trusting belief in integrity from that in competence in different contexts and accounts for subjectivity in the evaluation of a particular trustee by different thrusters. Simulation studies were conducted to compare the performance of the proposed integrity belief model with other trust models from the literature for different user behavior patterns. Experiments show that the proposed model achieves higher performance than other models especially in predicting the behavior of unstable users.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Most existing computational trust models, this model distinguish trusting belief in integrity  from that in competence in different contexts and  accounts for subjectivity in the evaluation of a  particular trustee by different thrusters programming problem.

 Many existing reputation models and security mechanisms rely on a social network structure propose an approach to extract reputation from the social network topology that encodes reputation information

PROPOSED CONCEPT:-

In this paper we propose a computational dynamic trust model for user authorization, rooted in findings from social science Development of authorization mechanisms for secure information access by a large community of users in an open environment is an important problem in the ever-growing Internet world.

This model defines five conceptual trust types: trusting behavior, trusting intention, trusting belief, institution-based trust, and disposition to trust.

EXISTING ALGORITHM:-

Computational Trust Models

PROPOSED ALGORITHM:-

Building and Testing Trusting Beliefs

ALGORITHM DEFNITION:-

 The problem of establishing and maintaining    dynamic trust has attracted many research   efforts. Many existing reputation models and security mechanisms rely on a social network structure. propose an approach to extract  reputation from the social network topology that encodes reputation information

ALGORITHM DEFNITION:-

Building and testing initial competence trust. There are four scenarios when t1 is about to establish initial trust about u1in c: both c and u1 are new c is known but u1 is new c is new but u1 is known; both c and u1 are known. Context c is known if the trusted has experience with some trustee in c. A trustee u1 is known if she interacted with t1before. The candidate method set for all scenarios and the order of their priorities are summarized.  

DRAWBACKS:-

 We can’t find out the Authorized user

   Easily get the details and data

ADVANTAGES:-

Here find out the Authorized user or not

Here can’t get the values easily

 
 
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