Verifiable data streaming protocol supporting update history queries

Abstract

With the widespread development of intelligent systems, a considerable number of mobile devices are connected together, and continuously generate huge amounts of data. Although cloud storage provides perfect solution for effectively storing these massive data, how to ensure the integrity of the outsourced data becomes challenging. For this reason, the primitive of verifiable data streaming (VDS) protocol was introduced, and enables a data owner to continuously outsource streaming data to an untrusted cloud server, while capturing the integrity of the outsourced data. That is, when a data user retrieves some data item via its index from the server, he/she can publicly verify its integrity with the proof generated and returned by the server. Supporting data update is one of the major features of VDS, and allows the data owner to replace an old data item with a new one. Although many VDS protocols have been proposed to enhance the functionality and efficiency of the original VDS protocol, they all ignore the issue of preserving those updated data items. In fact, in various application scenarios of VDS, preserving and storing previously updated data items is actually necessary. For example, in the setting of DNA sequencing, there might be multiple versions of DNA fragments at the same location due to the genetic mutation. Obviously, for more precise treatment, all these DNA fragments need to be preserved. To this end, in this paper, we propose a VDS protocol that features of enabling the query of the update history of each data item. Specifically, we first put forward a new chameleon authentication tree with update history (UCAT), which consists of two CATs (the basic tree and the update history tree). In more detail, the basic tree is used to store the data item appended to the corresponding location for the first time, and the update history tree is utilized to preserve each updated version of the corresponding data item. Furthermore, based on UCAT, we propose a VDS protocol supporting update history queries, which allows a data user to retrieve any version of the data item. The theoretical analysis and performance evaluation indicate that our protocol outperforms previous ones in the field of functionality, and its computation/communication costs are acceptable. We also prove its security in the standard model.

Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0

“…Although there are many advantages of the cloud-based eHealth system, there are still some security issues in practical applications [7], which have raised widespread concerns from the government and society and spawned the promulgation of many related laws, such as Health Information Technology for Economic and Clinical Health Act (HITECH) and Health Insurance Portability and Accountability Act (HIPAA). One of the major challenges is to ensure the integrity of medical data remotely stored in the cloud [8][9][10][11], for which the reasons are twofold. First, cloud service provider (CSP) may hide the fact of data corruption for their own interests [8,9].…”

“…To check the integrity of data remotely stored, the cloud data auditing technique has come into being [8][9][10][11]. Generally, there are two implementation models, i.e., the private auditing model and the public auditing model.…”