Trust based privacy protection in social network and multi-agent system
نویسندگان
چکیده
Social network and Cloud Computing environment have become popular as a medium for connecting like-minded people and disseminating information. The public accessibility of such environment with the ability to share opinions, thoughts, information, and experience offers great promise to enterprises and users. But the public of information also take the risk of your profile is Exposed to strangers. Data publishing has attracted much interest in research community due to the important concerns over the protection of individuals privacy. As a result several mechanisms with different notions of privacy have been proposed to measure, set and compare the level of privacy protection. In this paper, we propose a novel trust based framework for representing a formal model to evaluating privacy. we consider trust as the reason of privacy, user share their secret or information According to the level of trust, then we decide the privacy value from trust value,using the existing network’s topology calculate trust value for the new contacts. We show that we can deterministic reduce the information leak and protect user’s privacy.
منابع مشابه
Recommendation Privacy Protection in Trust-based Knowledge Sharing Network
Trust can be applied to knowledge sharing on a distributed network of knowledge source agents. Each agent represents a person who trusts some other agents. Based on these trust-relationships, an agent can infer the trustworthiness of an unknown agent by asking trusted agents for recommendations. However, the person represented by an agent may not be willing to share his or her individual opinio...
متن کاملAnalyzing Tools and Algorithms for Privacy Protection and Data Security in Social Networks
The purpose of this research, is to study factors influencing privacy concerns about data security and protection on social network sites and its’ influence on self-disclosure. 100 articles about privacy protection, data security, information disclosure and Information leakage on social networks were studied. Models and algorithms types and their repetition in articles have been distinguished a...
متن کاملToward a Privacy Enhancing Framework in E-government
E-government involves data sharing between different partners such as citizens and government agencies. Thus, the use of personal data in such cooperative environment must be done in legal ways and for legal purposes. In this context, issues related to data protection, such as privacy, have to be considered. This paper adopts a multi-agent based approach to manage privacy concerns in e-governme...
متن کاملHybrid Multi-faceted Computational Trust Model for Online Social Network (OSN)
Online Social Network (OSN) is an online social platform that enables people to exchange information, get in touch with family members or friends, and also helps as a marketing tool. However, OSN suffers from various security and privacy issues. Trust, fundamentally, is made up of security with hard trust (cryptographic mechanism) and soft trust (recommender system); user's trustworthiness for ...
متن کاملInformation Disclosure Behaviour in Social Media among Malaysian Youth: The impact of Privacy Concern, Risk and Trust
People have been using Social Network Sites (SNS) to communicate and make friends through online. Although SNS has been benefited its users in many ways, information privacy seemed to be overlooked. This study proposes a framework to examine users’ protective behaviour associated with information disclosure in SNS. The proposed framework was derived based on the Protection Motivation Theory and...
متن کامل