Title :
Data integrity and privacy model in cloud computing
Author :
Al-Jaberi, Mohammed Faez ; Zainal, Anazida
Author_Institution :
Fac. of Comput., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
Cloud computing is the future of computing industry and it is believed to be the next generation of computing technology. Among the major concern in cloud computing is data integrity and privacy. Clients require their data to be safe and private from any tampering or unauthorized access. Various algorithms and protocols (MD5, AES, and RSA-based PHE) are implemented by the various components of this model to provide the maximum levels of integrity management and privacy preservation for data stored in public cloud such as Amazon S3. The impact of algorithms and protocols, used to ensure data integrity and privacy, is studied to test the performance of the proposed model. The prototype system showed that data integrity and privacy are ensured against unauthorized parties. This model reduces the burden of checking the integrity of data stored in cloud storage by utilizing a third party, integrity checking service, and applies security mechanism that ensure privacy and confidentiality of data stored in cloud computing. This paper proposes an architecture based model that provides data integrity verification and privacy preserving in cloud computing.
Keywords :
authorisation; cloud computing; data integrity; data privacy; cloud computing; data integrity; data privacy; unauthorized access; Cloud computing; Computational modeling; Data models; Data privacy; Encryption; Amazon S3; Cloud computing; data integrity; data privacy;
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2014 International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-6443-7
DOI :
10.1109/ISBAST.2014.7013135