In new e-health applications, the ubiquitous nature of intelligent devices raises legitimate questions about peoples’ privacy, and how to cope with heterogeneity user application requirements in terms security services. This requires development adaptive, context-aware user-centric solutions. Recent applications (M2M: Machine-to-Machine/IoT: Internet Things/Web) permit remote monitoring patient...

Data privacy preservation is one of the most disturbed issues on the current industry. Data privacy issues need to be addressed urgently before data sets are shared on cloud. Data anonymization refers to as hiding complex data for owners of data records. Cloud computing provides promising scalable IT infrastructure to support various processing of a variety of big data applications in sectors s...

The privacy protection problem in data mining has received increasingly attention and is a hot topic of current research. To address the problems large accuracy loss instability clustering results algorithms under differential requirements, density peak algorithm for (DP-chDPC) proposed. Firstly, original DPC improved, by using dichotomy method to automatically determine truncation distance avo...

UAVs have shown great potential application in persistent monitoring, but still problems such as difficulty ensuring monitoring frequency and easy leakage of path information. Therefore, under the premise covering all targets by UAVs, it is necessary to improve target privacy protection intention much possible. In response above problems, this research proposes overdue time evaluate period entr...