Sensed Data Privacy Preserving for Query in Cloud Based Service
Versandkostenfrei!
Versandfertig in 1-2 Wochen
36,99 €
inkl. MwSt.
PAYBACK Punkte
18 °P sammeln!
The demand for privacy over outsourced data and digital tools to handle more complex and heterogeneous data structures continue to increase exponentially. This goes in parallel with the growth in the scalability of Cloud Computing as well as advances in big Data Mining and analytics which have expanded the scope of information available in various domain of life. For example the Wireless sensor networks (WSNs) have gained worldwide attention in recent years and facilitated the improvement of individual's life in various areas. WSNs have great merit in diverse applications such as Smart Home Ma...
The demand for privacy over outsourced data and digital tools to handle more complex and heterogeneous data structures continue to increase exponentially. This goes in parallel with the growth in the scalability of Cloud Computing as well as advances in big Data Mining and analytics which have expanded the scope of information available in various domain of life. For example the Wireless sensor networks (WSNs) have gained worldwide attention in recent years and facilitated the improvement of individual's life in various areas. WSNs have great merit in diverse applications such as Smart Home Management and Surveillance, Natural Disaster Relief, Biomedical Health Monitoring (WBAN). Thus, the trade-off is how a data owner can publish his/her dataset and conceal it at the same time? This book, therefore focuses on how to efficiently preserve the privacy of sensitive data, while still ensuring high quality of cloud's service. The analysis brings fresh views on service and query authentication and anonymity process, and should be especially useful to professionals in IT and Medical fields, or anyone else who may be considering utilizing online Cloud's based services.
Andere Kunden interessierten sich für
