Biblio

Cloud storage offers a considerable efficiency and security to the user's data and provide high flexibility to the user. The hackers make attempt of several attacks to steal the data that increase the concern of data security in cloud. The Third Party Auditing (TPA) method is introduced to check the data integrity. There are several TPA methods developed to improve the privacy and efficiency of the data integrity checking method. Various methods involved in TPA, have been analyzed in this review in terms of function, security and overall performance. Merkel Hash Tree (MHT) method provides efficiency and security in checking the integrity of data. The computational overhead of the proof verify is also analyzed in this review. The communication cost of the most TPA methods observed as low and there is a need of improvement in security of the public auditing.

Based on the analysis relationships of challenger and attestation in remote attestation process, we propose a dynamic remote attestation model based on concerns. By combines the trusted root and application of dynamic credible monitoring module, Convert the Measurement for all load module of integrity measurement architecture into the Attestation of the basic computing environments, dynamic credible monitoring module, and request service software module. Discuss the rationality of the model. The model used Merkel hash tree to storage applications software integrity metrics, both to protect the privacy of the other party application software, and also improves the efficiency of remote attestation. Experimental prototype system shows that the model can verify the dynamic behavior of the software, to make up for the lack of static measure.