Structural Anonymity For Privacy Protection In Social Network

A Differentiated Anonymity Algorithm for Social Network Privacy Preservation

Devising methods to publish social network data in a form that affords utility without compromising privacy remains a longstanding challenge, while many existing methods based on k-anonymity algorithms on social networks may result in nontrivial utility loss without analyzing the social network topological structure and without considering the attributes of sparse distribution. Toward this obje...

Analyzing 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...

K-Anonymity Algorithm Using Encryption for Location Privacy Protection

In this paper, we solved a location privacy protection in location-based services (LBS) where the mobile user had to report her exact location information to an LBS provider for the purpose of obtaining her wished services. Location invisible had been well proposed and researched to defend user privacy. However, as the nature of the insecure wireless net environment the user’s location informat...

Privacy and Anonymity Protection in Computational Grid Services

In computational grid computing, grid nodes spanning over several diverse computing resources belonging to heterogeneous administrative domains form the backbone of Virtual Enterprise [VE]. In order to offer service-on-demand, various service providers, requesters, brokers and administrators collaborate in request-response manner among each other in Service Oriented Virtual Enterprise through s...

Privacy Protection through Anonymity in Location-based Services