Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The fast growth of Internet-of-Things (IoT) strategies has actually presented the generation of huge quantities of information.
There should exist a method to conveniently gather, save, refine, and also provide such information.
On the other hand, IoT data is sensitive and private information; it must not be available to potential attackers.
We propose a robust scheme to guarantee both secure IoT data storage and retrieval from the untrusted cloud servers.
The proposed scheme is based on Private Information Retrieval (PIR).
It stores the data onto different servers and retrieves the requested data slice without disclosing its identity.
In our scheme, the information is encrypted before sending to the cloud servers.
It is also divided into slices of a specific size class.
The experimental analysis on many different configurations supported efficiency and the efficacy of the proposed scheme, which demonstrated compatibility and exceptional performance.
American Psychological Association (APA)
Riad, Khaled& Ke, Lishan. 2018. Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216081
Modern Language Association (MLA)
Riad, Khaled& Ke, Lishan. Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1216081
American Medical Association (AMA)
Riad, Khaled& Ke, Lishan. Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216081
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216081