DocumentCode :
2099898
Title :
Data Integrity Evaluation in Cloud Database-as-a-Service
Author :
Ghazizadeh, Puya ; Mukkamala, R. ; Olariu, Stephan
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
280
Lastpage :
285
Abstract :
Data integrity is a major concern in outsourced IT services like cloud computing. Cloud computing has become popular because of cost reductions, time saving and mobility in service. However data integrity is still an unresolved issue in cloud services. We present an efficient mechanism for evaluating data integrity in cloud database-as-a-service. Our approach is based on inserting fake tuples into the database. In our model the owner of the data is the only trusted party and the server as a service provider or any other users are not trusted. We refer to distrusted party as a potentially malicious attacker. In our approach we define generating functions to create fake tuples with uniform distribution. Malicious attackers are not able to distinguish between fake tuples and real tuples. Our approach does not use encryption which makes it more efficient. We explore the strengths and limitations of these generating functions by describing our approach.
Keywords :
cloud computing; data integrity; database management systems; security of data; cloud computing; cloud database-as-a-service; data integrity evaluation; distrusted party; malicious attackers; outsourced IT services; Cloud computing; Encryption; Indexes; Servers; cloud computing; data integrity; outsourced database; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services (SERVICES), 2013 IEEE Ninth World Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5024-4
Type :
conf
DOI :
10.1109/SERVICES.2013.40
Filename :
6655710
Link To Document :
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