DocumentCode :
720549
Title :
Full Integrity and Freshness for Outsourced Storage
Author :
Hao Jin ; Hong Jiang ; Ke Zhou ; Ronglei Wei ; Dongliang Lei ; Ping Huang
Author_Institution :
Sch. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2015
fDate :
4-7 May 2015
Firstpage :
362
Lastpage :
371
Abstract :
Data outsourcing relieves cloud users of the heavy burden of infrastructure management and maintenance. However, the handover of data control to untrusted cloud servers significantly complicates the security issues. Conventional signature verification widely adopted in cryptographic storage system only guarantees the integrity of retrieved data, for those rarely or never accessed data, it does not work. This paper integrates proof of storage technique with data dynamics support into cryptographic storage design to provide full integrity for outsourced data. Besides, we provide instantaneously freshness check for retrieved data to defend against potential replay attacks. We achieve these goals by designing flexible block structures and combining broadcast encryption, key regression, Merkle hash tree, proof of storage and fine-grained access control policies together to provide a secure storage service for outsourced data. Experimental evaluation of our prototype shows that the cryptographic cost and throughput is reasonable and acceptable.
Keywords :
authorisation; cloud computing; cryptography; handwriting recognition; outsourcing; regression analysis; storage management; Merkle hash tree; broadcast encryption; cloud users; cryptographic storage system; data control; data outsourcing; fine-grained access control policies; flexible block structures; infrastructure maintenance; infrastructure management; key regression; outsourced storage; proof of storage; security issues; signature verification; storage technique; untrusted cloud servers; Authentication; Cloud computing; Encryption; Secure storage; Servers; cloud; freshness; full integrity; proof of storage; secure storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CCGrid.2015.90
Filename :
7152502
Link To Document :
بازگشت