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Provenance based data integrity checking and verification in cloud environments

Kurzbeschreibung

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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Referenz
Kategorie
Journal Paper
Institut
Entertainment Computing
Journal or Publication Title
PLoS ONE
ISSN
1932-6203
Verlag
Public Library of Science
Seitenbereich
pp. 1-19
Nummer
5
Band
12
Datum
2017
Offizielle URL
https://doi.org/10.1371/journal.pone.0177576
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Fakultät für Informatik
Universität Wien

Währinger Straße 29
1090 Wien