Study on Data Storage Correctness Methods in Mobile Cloud Computing

Abstract

Data Storage Correctness plays a major role in Mobile Cloud Computing. This deals with checking the integrity of data at remote cloud storage server. In auditing the data blindness should be incorporated regarding Third party auditing. Message Authentication Code, Digital Signatures, and Hash methods are employed for verification of message in the existing methods. In this current study data dynamic and public auditing is taken with confidentiality. This work isolates the method that is suitable for mobile cloud environment and gives the overall view of the auditing methods in the recent study. Design of an efficient auditing architecture to minimize computation and storage cost of the mobile devices are proposed to enhance the mobile users auditing is discussed. This work analysed on numerous existing cloud storage correctness methods pros and cons based on their technique, framework and also discusses the challenges that are required to implement data storage correctness method in Mobile Cloud Computing. This study gives a new framework to improve the integrity verification for remote data stored in cloud. Keywords: Auditing, Data Dynamics, Data Storage Correctness, Mobile Cloud, Provable Data Possession, Trusted Third Party