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Security and Privacy for Cloud-Based IoT: Challenges.

Authors :
Zhou, Jun
Cao, Zhenfu
Dong, Xiaolei
Vasilakos, Athanasios V.
Source :
IEEE Communications Magazine. Jan2017, Vol. 55 Issue 1, p26-33. 8p.
Publication Year :
2017

Abstract

The Internet of Things is increasingly becoming a ubiquitous computing service, requiring huge volumes of data storage and processing. Unfortunately, due to the unique characteristics of resource constraints, self-organization, and shortrange communication in IoT, it always resorts to the cloud for outsourced storage and computation, which has brought about a series of new challenging security and privacy threats. In this article, we introduce the architecture and unique security and privacy requirements for the next generation mobile technologies on cloud-based IoT, identify the inappropriateness of most existing work, and address the challenging issues of secure packet forwarding and efficient privacy preserving authentication by proposing new efficient privacy preserving data aggregation without public key homomorphic encryption. Finally, several interesting open problems are suggested with promising ideas to trigger more research efforts in this emerging area. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
01636804
Volume :
55
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Communications Magazine
Publication Type :
Academic Journal
Accession number :
120846638
Full Text :
https://doi.org/10.1109/MCOM.2017.1600363CM