Identity management‐based social trust model for mediating information sharing and privacy enhancement

Abstract

As interest in social network studies has grown bigger along with the development of the Web, social network trust management and applications have come into the spotlight. The increasing interest in social network services that are open systems has motivated the need for a reliable trust model that enables practical information sharing and information protection. In this paper, we propose an identity management-based social trust model for solving a sparsity problem and an information leakage. The proposed trust model contributes to increasing the opportunities for information sharing. In addition, the creation and use of identity groups with a clustering approach and partial identities in the proposed approach effectively address security and privacy risks in social networks. In experiments, the performance of the proposed approach is evaluated using precision-recall and F-measures.

Relational Network Analysis for Advanced National R&D Outcomes Management

“…In this works, they inferred indirect trust with intermediate nodes. [5][6][7] are focused on analyzing graphs expressed as relational networks in data management and mining.…”

Role Performance Trust-Based Access Control for Protecting Sensitive Attributes

“…Combinations from the notions of Kim et al and Vidyalakshmi et al [16,15], the level of a user trusted behaviour for the overall score is illustrated as in Table 3. For example, assume a user Carol obtains the overall score 0.7.…”

Light‐weight group signatures with time‐bound membership

“…Further, several works deal with privacy in online electronic services, for example, , and in anonymous geolocation and geosocial systems such as and . However, these schemes are usually not convenient for anonymous/pseudonymous many‐to‐one communication systems that collect data from client devices.…”