Practical integrity preservation for data streaming in cloud-assisted healthcare sensor systems

Chen, Chi Yuan; Wu, Hsin Min; Wang, Lei; Yu, Chia Mu

doi:10.1016/j.comnet.2017.05.032

Cited by 12 publications

(3 citation statements)

References 6 publications

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“…Xu et al 26 extended the original CAT with prefix tree, and presented a lightweight VDS protocol. Chen et al 27 introduced the notion of arithmetic Merkle tree to ensure the flexibility of the tree structure. Moreover, the idea of VDS has also been used to achieve the integrity of data stored on blockchain.…”

Section: Related Workmentioning

confidence: 99%

Verifiable data streaming with efficient update for intelligent automation systems

Miao

Wei

et al. 2021

Int J of Intelligent Sys

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The wide deployment of Internet of Things (IoT) devices enables the controller to continuously collect massive volume data in automation systems, and makes it possible to make intelligent decisions based on machine learning techniques. In fact, data-driven intelligent automation systems have been common in the industrial community. Nevertheless, how to effectively store the collected stream data and ensure their integrity is still challenging. To this end, the notion of verifiable data streaming (VDS) protocol, which enables a client to outsource the stream data to an untrusted server in a verifiable manner, was introduced.

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Section: Related Workmentioning

confidence: 99%

Verifiable data streaming with efficient update for intelligent automation systems

Miao

Wei

et al. 2021

Int J of Intelligent Sys

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“…Furthermore, Other works have expanded the functionality of the original VDS protocol, so as to fulfill the security requirements of several special applications scenarios. For example, Chen et al 15 proposed streaming data authentication structures based on homomorphic encryption 16 . In their scheme, the vast majority of the computation burden is transferred to the cloud server, and the client only needs to perform lightweight addition and multiplication operations.…”

Section: Introductionmentioning

confidence: 99%

Verifiable data streaming protocol supporting update history queries

Miao

Wang

et al. 2022

Int J of Intelligent Sys

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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.

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“…The paper [1] describes how it applies to distributed web environment. There is an application for live video streaming in VANETs environment in [3].An integrity verification scheme for data streaming is proposed in [2] to solve the one-wayness problem of Merkle tree. There is an instance of perceptual hash for authentication in [4].…”

Section: Introductionmentioning

confidence: 99%

Live Video Streaming Authentication for Vehicle Multimedia based on Merkle Tree

Han¹,

Zhang²,

Liu³

et al. 2018

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

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Merkle tree has been widely applied in the field of P2P transmission. In this paper, an efficient authentication scheme is proposed in the integrity check module for vehicle live video streaming system by optimizing the construction and verification of the Merkle tree. It can create and check nodes at the same time in a shorter time without trusted channel. At the same time, in order to prevent the oversensitivity of hash algorithm, this paper uses the perceptual hash algorithm to generate the hash value of nodes in the Merkle tree. After performance evaluation and analysis, our algorithm can build a Merkle tree with 2N-1 nodes only after the N+log2N times hash calculation. It has better time performance than the traditional tree, whether receiving attacks or not. And it is proved that the scheme is secure under the condition that the vehicle live video streaming system is safe.

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Practical integrity preservation for data streaming in cloud-assisted healthcare sensor systems

Cited by 12 publications

References 6 publications

Verifiable data streaming with efficient update for intelligent automation systems

Verifiable data streaming with efficient update for intelligent automation systems

Verifiable data streaming protocol supporting update history queries

Live Video Streaming Authentication for Vehicle Multimedia based on Merkle Tree

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