Provenance based data integrity checking and verification in cloud environments

Abstract

Cloud computing is a recent tendency in IT that moves computing and data away from desktop and hand-held devices into large scale processing hubs and data centers respectively. It has been proposed as an effective solution for data outsourcing and on demand computing to control the rising cost of IT setups and management in enterprises. However, with Cloud platforms user’s data is moved into remotely located storages such that users lose control over their data. This unique feature of the Cloud is facing many security and privacy challenges which need to be clearly understood and resolved. One of the important concerns that needs to be addressed is to provide the proof of data integrity, i.e., correctness of the user’s data stored in the Cloud storage. The data in Clouds is physically not accessible to the users. Therefore, a mechanism is required where users can check if the integrity of their valuable data is maintained or compromised. For this purpose some methods are proposed like mirroring, checksumming and using third party auditors amongst others. However, these methods use extra storage space by maintaining multiple copies of data or the presence of a third party verifier is required. In this paper, we address the problem of proving data integrity in Cloud computing by proposing a scheme through which users are able to check the integrity of their data stored in Clouds. In addition, users can track the violation of data integrity if occurred. For this purpose, we utilize a relatively new concept in the Cloud computing called “Data Provenance”. Our scheme is capable to reduce the need of any third party services, additional hardware support and the replication of data items on client side for integrity checking.

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“…They are correlated with each waveform data file stored on specific blocks on sever disk. In database level, MySQL table design includes entity integrity, referential integrity and domain integrity like signature validation to keep the data stability, maintainability and re-usability [30]. In the entire network layer, MP60 data processing protocol and MOXA commercially qualified embedded protocol guarantees the data transmission integrity [27], which keeps the network data flow run normally and precisely.…”

An efficient RSA cryptosystem by applying cuckoo search optimization algorithm

“…A novel approach presented as Data Provenance in the cloud computing environment to track the occurrence of any violation of data integrity. 22 This approach was observed to reduce the components required for verifying the integrity of the data such as third-party services, supplementary hardware support and the imitation of data on client side. An efficient public auditing protocol with global and sampling block is proposed.…”

“…This approach was seen to provide an efficient method in maintaining the integrity of the data among the large files stored in the cloud. A novel approach presented as Data Provenance in the cloud computing environment to track the occurrence of any violation of data integrity . This approach was observed to reduce the components required for verifying the integrity of the data such as third‐party services, supplementary hardware support and the imitation of data on client side.…”

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“…But all these techniques have some advantages and disadvantages that consider in the following survey. Muhammad Imran, Helmut Hlavacs, Inam Ul Haq, Bilal Jan, Fakhri Alam Khan,Awais Ahmad, proposed a scheme which check the integrity using provenance data and verification over cloud environment [15]. There must have a mechanism that check integrity of user data is violated or not.…”