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Enhancing Big Data Auditing
- Source :
- Computer and Information Science. 11:90
- Publication Year :
- 2018
- Publisher :
- Canadian Center of Science and Education, 2018.
-
Abstract
- The auditing services of the outsourced data, especially big data, have been an active research area recently. Many schemes of remotely data auditing (RDA) have been proposed. Both categories of RDA, which are Provable Data Possession (PDP) and Proof of Retrievability (PoR), mostly represent the core schemes for most researchers to derive new schemes that support additional capabilities such as batch and dynamic auditing. In this paper, we choose the most popular PDP schemes to be investigated due to the existence of many PDP techniques which are further improved to achieve efficient integrity verification. We firstly review the work of literature to form the required knowledge about the auditing services and related schemes. Secondly, we specify a methodology to be adhered to attain the research goals. Then, we define each selected PDP scheme and the auditing properties to be used to compare between the chosen schemes. Therefore, we decide, if possible, which scheme is optimal in handling big data auditing.
- Subjects :
- Scheme (programming language)
020203 distributed computing
Database
Computer science
business.industry
Big data
02 engineering and technology
Audit
computer.software_genre
Proof of retrievability
Core (game theory)
Work (electrical)
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Pharmacology (medical)
business
computer
computer.programming_language
Subjects
Details
- ISSN :
- 19138997 and 19138989
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Computer and Information Science
- Accession number :
- edsair.doi...........7e0f263c2f8a553c8a9e4d130e0513ef