Sensed Data Privacy Preserving for Query in Cloud Based Service

Lieferzeit: Lieferbar innerhalb 14 Tagen

54,90 

ISBN: 6200084645
ISBN 13: 9786200084644
Autor: Konan, Martin/Wang, Wenyong
Verlag: LAP LAMBERT Academic Publishing
Umfang: 120 S.
Erscheinungsdatum: 06.06.2019
Auflage: 1/2019
Format: 0.8 x 22 x 15
Gewicht: 197 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7662540 Kategorie:

Beschreibung

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 individuals 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 clouds 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.

Autorenporträt

Martin Konan - experienced IT professional with a demonstrated history of working in both IT industry and Education system with two Master's degree from Bangalore University,India . He is currently a PhD research fellow at University of Electronic Science and Technology of China with focus on Data Privacy,Cryptography, Cloud Computing,Machine Learning, and WSN.

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