Privacy Preservation Models for Third-Party Auditor over Cloud Computing: A Survey

Abstract

Cloud computing has become a prominent technology due to its important utility service; this service concentrates on outsourcing data to organizations and individual consumers. Cloud computing has considerably changed the manner in which individuals or organizations store, retrieve, and organize their personal information. Despite the manifest development in cloud computing, there are still some concerns regarding the level of security and issues related to adopting cloud computing that prevent users from fully trusting this useful technology. Hence, for the sake of reinforcing the trust between cloud clients (CC) and cloud service providers (CSP), as well as safeguarding the CC’s data in the cloud, several security paradigms of cloud computing based on a third-party auditor (TPA) have been introduced. The TPA, as a trusted party, is responsible for checking the integrity of the CC’s data and all the critical information associated with it. However, the TPA could become an adversary and could aim to deteriorate the privacy of the CC’s data by playing a malicious role. In this paper, we present the state of the art of cloud computing’s privacy-preserving models (PPM) based on a TPA. Three TPA factors of paramount significance are discussed: TPA involvement, security requirements, and security threats caused by vulnerabilities. Moreover, TPA’s privacy preserving models are comprehensively analyzed and categorized into different classes with an emphasis on their dynamicity. Finally, we discuss the limitations of the models and present our recommendations for their improvement.

An overview of the application and development of data integrity verification techniques

“…This solution ensures data integrity by storing data information through a decentralized network of nodes, thus preventing data from being tampered with or corrupted. Trusted third-party auditing is often introduced for information transfer in cloud servers (TPA) [13] is involved to verify data integrity, with a diagram of the traditional cloud data integrity verification model shown in Figure 4. Yue [15] et al proposed a data integrity verification framework based on blockchain technology.…”

A Survey on Threat-Modeling Techniques: Protected Objects and Classification of Threats

“…Analyzing the sources of the above table, we can say that in [69,78,80,83,85,86] the authors built schematic models to demonstrate their usefulness, and in [71,[73][74][75][76][77]81,82,84,[87][88][89][90] the authors cited models either existing, described in words or only mathematically. This approach may not be clear to everyone, and may also cause difficulties.…”

Effective privacy preserving in cloud computing using position aware Merkle tree model

“…It is made to embed resource computing and communication among all the physical devices [1]. Cloud computing requires a wide range of services that includes platform as a service (PaaS), desktop as a service (DaaS), software as a service (SaaS), and infrastructure as a service (IaaS) [2]. There is a traditional storage technology that is directly attached to the redundant arrays, and to the produced independent disks for generating the storage network area.…”