DocumentCode :
589585
Title :
SeDas: A self-destructing data system based on active storage framework
Author :
Lingfang Zeng ; Shibin Chen ; Qingsong Wei ; Dan Feng
Author_Institution :
Wuhan Nat. Lab. for Optoelectron., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
fDate :
Oct. 31 2012-Nov. 2 2012
Firstpage :
1
Lastpage :
8
Abstract :
Personal data stored in the Cloud may contain account numbers, passwords, notes, and other important information that could be used and misused by a miscreant, a competitor, or a court of law. These data are cached, copied, and archived by Cloud Service Providers (CSPs), often without users´ authorization and control. Self-destructing data mainly aims at protecting the user data´s privacy. All the data and their copies become destructed or unreadable after a user-specified time, without any user intervention. Besides, the decryption key is destructed after the user-specified time. In this paper, we present SeDas, a system that meets this challenge through a novel integration of cryptographic techniques with active storage techniques based on T10 OSD standard. We implemented a proof-of-concept SeDas prototype. Through functionality and security properties evaluation of the SeDas prototype, the results demonstrate that SeDas is practical to use and meets all the privacy-preserving goals described above. Compared with the system without self-destructing data mechanism, throughput for uploading and downloading with the proposed SeDas acceptably decreases by less than 72%, while latency for upload/download operations with self-destructing data mechanism increases by less than 60%.
Keywords :
authorisation; cloud computing; cryptography; data privacy; storage management; CSP; SeDas; T10 OSD standard; active storage technique; cloud service provider; cryptographic technique; decryption key; personal data; privacy-preserving goal; security properties evaluation; self-destructing data mechanism; self-destructing data system; user authorization; user data privacy protection; Cloud computing; Self-destructing data; active storage; object-based storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
APMRC, 2012 Digest
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-4734-1
Type :
conf
Filename :
6407530
Link To Document :
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