Cloud Security: Concepts, Methodologies, Tools, and Applications by Management Association Information Resources

Author:Management Association Information Resources
Language: eng
Format: epub
Publisher: Engineering Science Reference

The existing data storage auditing methods can be further classified into several categories according to:

1. The Type of the Auditor/Verifier: Public auditing or private auditing.

2. The Distribution of Data to be Audited: Single-copy or multiple-copy data.

3. The Data Persistence: Static or dynamic data.

Public Auditing vs. Private Auditing

Considering the role of the auditor in the auditing model, data storage auditing schemes fall into two categories; private auditing and pubic auditing (Zheng & Xu, 2012). In private auditing, only data owners can challenge the CSS to verify the correctness of their outsourced data (Yang & Jia, 2012).Unfortunately, private auditing schemes have two limitations: (a) They impose an online burden on the data owner to verify data integrity and (b) The data owner must have huge computational capabilities for auditing. Examples of auditing schemes that only support private auditing are (Chen & Curtmola, 2012; Chen & Curtmola, 2013; Mukundan, Madria, & Linderman, 2012; Etemad & Kupcu, 2013). In public auditing or third party auditing (Zhu, Ahn, Hu, Yau, An, & Hu, 2013), data owners are able to delegate the auditing task to an independent third party auditor (TPA), without the devotion of their computational resources. However, pubic auditing schemes should guarantee that the TPA keeps no private information about the verified data. Several variations of PDP schemes that support public auditing such as (Chen & Curtmola, 2013; Mukundan, Madria, & Linderman, 2012; Fujisaki & Okamoto, 1999; Abo-alian, Badr, & Tolba, 2015), were proposed under different cryptographic primitives.

Auditing Single-Copy vs. Multiple-Copy Data

For verifying the integrity of outsourced data in the cloud storage, various auditing schemes have been proposed which can be categorized into:

1. Auditing schemes for single-copy data.

2. Auditing schemes for multiple-copy data.

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