JOURNAL ARTICLE

Secure and Private Information Retrieval (SAPIR) in Cloud Storage Systems

Mohsen Karimzadeh KiskaniHamid R. Sadjadpour

Year: 2018 Journal:   IEEE Transactions on Vehicular Technology Vol: 67 (12)Pages: 12302-12312   Publisher: Institute of Electrical and Electronics Engineers

Abstract

An information theoretic approach to security and privacy for cloud data storage systems is introduced in this paper. The approach called Secure and Private Information Retrieval (SAPIR) is a random combination of all contents that are stored across the network by using Random Linear Fountain codes. SAPIR achieves asymptotic perfect secrecy. To retrieve a content, a group of servers collaborate with each other to form a Repair Group. Further, an information theoretic Private Information Retrieval scheme based on random queries is proposed that ensures that a user privately downloads its desired content without the servers knowing the requested content index. The proposed scheme is adaptive and can provide privacy against a significant number of colluding servers.

Keywords:
Server Computer science Secrecy Private information retrieval Cloud computing Cloud storage Scheme (mathematics) Computer network Data retrieval Encryption Information retrieval Computer security Mathematics Operating system

Metrics

7
Cited By
0.85
FWCI (Field Weighted Citation Impact)
51
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Storage Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence

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