JOURNAL ARTICLE

Secure Storage and Retrieval of IoT Data Based on Private Information Retrieval

Khaled RiadLishan Ke

Year: 2018 Journal:   Wireless Communications and Mobile Computing Vol: 2018 (1)   Publisher: Wiley

Abstract

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.

Keywords:
Computer science Information retrieval Data retrieval Internet of Things Adversarial information retrieval Private information retrieval Information storage World Wide Web Database Human–computer information retrieval Computer security Search engine Cognitive models of information retrieval

Metrics

10
Cited By
1.79
FWCI (Field Weighted Citation Impact)
32
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
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