Location Based Services (LBS) has become an important field of research with the rapid development of Internet-based Information Technology (IOT) technology and everywhere we use smartphones and social networks in our everyday lives. Although users can enjoy the flexibility, facility, facility and location-based services (LBS) with the Internet of Things, they may lose their privacy. An untrust...

Privacy preservation is a crucial problem in resource sharing and collaborating among multi-domains. Based on this problem, we propose a role-based access control model for privacy preservation. This scheme avoided the privacy leakage of resources while implementing access control, and it has the advantage of lower communication overhead. We demonstrate this scheme meets the IND-CCA2 semantic s...

In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by adding noise (e.g., using differential privacy) and/or (b) assume a clear distin...

Uncontrolled variety of location based service (LBS) applications in mobile networks led to the loss of individual user location data privacy. To preserve privacy in mobile networks data randomization and anonymization must be used because of location data uncertainty. By data randomization additional random data is added to the original location data, desensitizing the precise information cont...

Privacy preservation in data mining has been a popular and an important research area for more than a decade due to its vast spectrum of applications. A new class of data mining method called privacy preserving data mining algorithm has been developed. The aim of this algorithm is to protect the sensitive information in data from the large amount of data set. The privacy preservation of data se...