Mao, J., Zhang, Y., Li, P., Wu, Q.H. and Liu, J.W. (2015) A Position-Aware Merkle Tree for Dynamic Cloud Data Integrity Verification. Soft Computing. https://doi.org/10.1007/s00500-015-1918-8

has been cited by the following article:

• TITLE: Data Integrity Checking Protocol with Data Dynamics in Cloud Computing

  AUTHORS: Junjie Feng, Shigong Long

  KEYWORDS: Provable Data Possession (PDP), Cloud Storage, Data Dynamics, Public Verifiability, Data Integrity

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.10 No.5B, May 26, 2017

  ABSTRACT: We introduce a model for provable data possession (PDP) which allows a client that has stored data at an untrusted server to verify that the server possesses the original data without retrieving it. In a previous work, Ateniese et al. proposed a remote data integrity checking protocol that supports data partial dynamics. In this paper, we present a new remote data possession checking protocol which allows an unlimited number of file integrity verifications and efficiently supports dynamic operations, such as data modification, deletion, insertion and append. The proposed protocol supports public verifiability. In addition, the proposed protocol does not leak any private information to third-party verifiers. Through a specific analysis, we show the correctness and security of the protocol. After that, we demonstrate the proposed protocol has a good performance.