Adjacency-Hash-Table Based Public Auditing for Data Integrity in Mobile Cloud Computing
| Autor: | Wenqi Chen, Fulin Nan, Jing Lu, Hui Tian, Chin-Chen Chang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
021110 strategic defence & security studies Authentication Article Subject Computer Networks and Communications Computer science business.industry lcsh:T Distributed computing 0211 other engineering and technologies Cloud computing 02 engineering and technology Audit lcsh:Technology Hash table Mobile cloud computing lcsh:Telecommunication Data integrity lcsh:TK5101-6720 0202 electrical engineering electronic engineering information engineering Table (database) Electrical and Electronic Engineering business Cloud storage Information Systems |
| Zdroj: | Wireless Communications and Mobile Computing, Vol 2018 (2018) |
| ISSN: | 1530-8669 |
| DOI: | 10.1155/2018/3471312 |
| Popis: | Cloud storage, one of the core services of cloud computing, provides an effective way to solve the problems of storage and management caused by high-speed data growth. Thus, a growing number of organizations and individuals tend to store their data in the cloud. However, due to the separation of data ownership and management, it is difficult for users to check the integrity of data in the traditional way. Therefore, many researchers focus on developing several protocols, which can remotely check the integrity of data in the cloud. In this paper, we propose a novel public auditing protocol based on the adjacency-hash table, where dynamic auditing and data updating are more efficient than those of the state of the arts. Moreover, with such an authentication structure, computation and communication costs can be reduced effectively. The security analysis and performance evaluation based on comprehensive experiments demonstrate that our protocol can achieve all the desired properties and outperform the state-of-the-art ones in computing overheads for updating and verification. |
| Databáze: | OpenAIRE |
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