Verifiable data streaming with efficient update for intelligent automation systems

Miao, Meixia; Wei, Jianghong; Wu, Jiaojiao; Li, Kuan‐Ching; Susilo, Willy

doi:10.1002/int.22671

Cited by 12 publications

(8 citation statements)

References 33 publications

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“…In order to verify the overall effectiveness of the intelligent surveying and mapping geographic information data update method based on ArcGIS Server, a Shapefile format geographic information dataset was prepared as the experimental object, and ArcGIS Pro was used for data preprocessing operations, including coordinate conversion, format conversion, and data cleaning. The experimental tests were conducted using the methods of reference [2] and reference [3] as comparative methods.…”

Section: Experimental Analysismentioning

confidence: 99%

“…Therefore, how to achieve real-time updates and efficient management of geographic information data to meet the needs of various fields has become an urgent problem to be solved. Miao et al [2] proposed a new primitive called Double Trap Chameleon Hash Tree (DCHT) to address the challenge of continuously collecting large-scale data in intelligent automation systems, and based on this, designed a novel Verifiable Data Stream (VDS) protocol. This protocol utilizes the unique properties of DCHT to achieve uninterrupted data updates.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent surveying and geographic information data updating method based on ArcGIS server

Liu

2024

International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024)

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Section: Experimental Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent surveying and geographic information data updating method based on ArcGIS server

Liu

2024

International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024)

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“…In Saadatmand‐Tarzjan and Moghaddam, 31 a novel evolutionary approach named evolutionary group algorithm (EGA) is proposed for complicated, time‐consuming optimization problems such as finding optimal parameters of data indexing algorithms. In addition, Niu et al 32 proposed an efficiency ranking‐based evolutionary algorithm to directly gauge the most efficient decision‐making units (DMUs) for power system planning and operation. Chai et al 33 proposed an improved multiobjective evolutionary algorithm for the IoT service (I‐MOEA/D‐IoTS), and further applied the proposed algorithm in the scenarios of agricultural IoT service.…”

Section: Related Workmentioning

confidence: 99%

An evolutive framework for server placement optimization to digital twin networks

Xiao

Han

Weng

et al. 2023

Int J Communication

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SummaryDigital twin network (DTN) is a foremost enabler for efficient optimization in modern networks, as it owns massive real‐time data and requires interaction with the physical network in real‐time. When constructing a DTN, it is necessary to deploy many servers in the physical network for digital models' storage, calculation, and communication. Evolutionary algorithms show outstanding global optimization capabilities compared to the constructive heuristic method in such an optimization problem. However, due to the high dimensionality of the problem and the complicated evaluation of the deployment plan, evolutionary algorithms easily fall into the optimum local at a high computational cost, given that the server placement problem is an NP‐hard combinatorial optimization problem. In this research, we propose an evolutionary framework for server layout optimization that significantly improves the optimization efficiency of evolutionary algorithms and reduces the algorithm's computational cost. An offline‐learning‐based approach is used to reduce the search space, and a self‐examining guided local search method is proposed to improve the search efficiency. Additionally, a look‐up table‐based hybrid approach is used for solution evaluation, reducing computational overhead. Experimental results show that the proposed framework and optimization strategy can significantly improve the evolutionary algorithm search efficiency and achieve excellent convergence performance.

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“…Recently, Wei et al 13 proposed an optimal VDS protocol with data auditing, and this protocol combined the BLS signature scheme with a RSA cryptographic accumulator and realized the constant communication and calculation cost. Miao et al 14 extended a VDS protocol with constant update cost. Furthermore, Other works have expanded the functionality of the original VDS protocol, so as to fulfill the security requirements of several special applications scenarios.…”

Section: Related Workmentioning

confidence: 99%

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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Verifiable data streaming with efficient update for intelligent automation systems

Cited by 12 publications

References 33 publications

Intelligent surveying and geographic information data updating method based on ArcGIS server

Intelligent surveying and geographic information data updating method based on ArcGIS server

An evolutive framework for server placement optimization to digital twin networks

Verifiable data streaming protocol supporting update history queries

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