Data fusion technique in SPIDER Peer-to-Peer networks in smart cities for security enhancements

Mocanu, Bogdan; Pop, Florin; Mihaita, Alexandra; Dobre, Ciprian; Castiglione, Aniello

doi:10.1016/j.ins.2018.06.070

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…The accuracy rate is more than 90%, realizing the networked, portable and wearable respiratory status sensor to provide real-time accurate measurement [8]. Mocanu, Bogdan considers an architecture covered by spiders formed by rings and chains [9]. Yassine Himeur classifies and counts the previous data fusion algorithms.…”

Section: Related Workmentioning

confidence: 99%

Design of Oil Field Data Fusion Integration Platform

Song,

Liang,

et al. 2023

Frontiers in Artificial Intelligence and Applications

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With the deepening of oilfield digitization process, oilfield data sharing can improve data utilization and is conducive to mining oilfield production laws. Due to historical reasons, there are great differences in the formats of databases and data tables used in different oil fields. Under the condition of keeping the data storage environment and format of each oil field unchanged, the establishment of an integrated data fusion platform can improve the access speed of data and enhance the utilization effect. The platform integrates the data in Oracle, SQL Server 2008, SQL Server 2012 and other databases in the form of data mapping. The integrated platform adopts SQL Server 2012. In the process of data fusion, data integrity and legitimacy directly affect the accuracy of data mining and data analysis. The system belong to B / S architecture, uses HTML and C# language to jointly carry out front and back-end development in vs 2015 environment, and realizes data fusion of different databases. Taking the information of 10000 wells of Chuanqing drilling company as the test data, the system can extract and display the data as required, and remind the error of unreasonable data, so that users can check and calibrate the data, so as to achieve the goal of data availability.

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Section: Related Workmentioning

confidence: 99%

Design of Oil Field Data Fusion Integration Platform

Song,

Liang,

et al. 2023

Frontiers in Artificial Intelligence and Applications

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“…Data fusion has been widely used in many applications, including: motor fault detection; 42 radar and image measurements; 43 rank review; 44 distributed tracking; 45 security enhancements; 46 IOT; 47 robust estimation; 48 and machine learning 49 . As discussed by Ayed et al, 50 many architectures have been proposed for data fusion 40,41,51 .…”

Section: Preliminaries and Backgroundmentioning

confidence: 99%

Dissimilarity‐based test case prioritization through data fusion

Huang

Towey

et al. 2022

Softw Pract Exp

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Test case prioritization (TCP) aims at scheduling test case execution so that more important test cases are executed as early as possible. Many TCP techniques have been proposed, according to different concepts and principles, with dissimilarity-based TCP (DTCP) prioritizing tests based on the concept of test case dissimilarity: DTCP chooses the next test case from a set of candidates such that the chosen test case is farther away from previously selected test cases than the other candidates. DTCP techniques typically only use one aspect/granularity of the information or features from test cases to support the prioritization process. In this article, we adopt the concept of data fusion to propose a new family of DTCP techniques, data-fusion-driven DTCP (DDTCP), which attempts to use different information granularities for prioritizing test cases by dissimilarity. We performed an empirical study involving 30 versions of five subject programs, investigating the testing effectiveness and efficiency by comparing DDTCP against DTCP techniques that use a dissimilarity granularity. The experimental results show that not only does DDTCP have better fault-detection rates than single-granularity DTCP techniques, but it also appears to only incur similar prioritization costs. The results also show that DDTCP remains robust over multiple system releases.

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“…The work given by Mocanu et al [21] presents a data fusion technique for Peer-to-Peer networks. The presented network considers the scenario of smart cities as a design of a spider overlay network environment.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Centralized Peer to Peer Architecture for Resource Discovery and Secure Communication in Internet of Things

Bhajantri¹,

S²

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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The Internet of Things (IoT) made communication between people and objects easy. It helps to build smart cities, homes, manufacturing systems, health monitoring systems, etc., for mankind. The increased adoption of IoT applications enabled many smart devices on the Internet platform. These devices deployed across the globe may have varying computational and communication capabilities. It is a great challenge to manage IoT resources efficiently. Some of well-known protocols are defined to identify and access IoT resources locally in a real-world environment. Many authors have adopted the Distributed Hash Table (D.H.T.) based Peer to Peer (P2P) model for global and massive resource management. However, D.H.T. based solutions have many shortcomings and are not perfectly suitable for the IoT domain. In this paper, it has been proposed a novel Hybrid Centralized Peer to Peer (HCP2P) architecture for efficient resource discovery and access mechanism. The proposed solution builds a secure communication channel among trusted peer devices with the aid of an HCP2P server. The trusted devices can discover and access the required resource efficiently and securely with reduced load on the central server. The proposed HCP2P solutions are evaluated on both hardware prototypes and simulations. The proposed model gives almost constant resource registration, discovery, and access time. This evaluation showed that HCP2P architecture performance is superior to traditional DHT-based P2P architecture. Finally, the performance parameters of the proposed scheme are evaluated in terms of resource registration time, discovery time, and hop-count.

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Data fusion technique in SPIDER Peer-to-Peer networks in smart cities for security enhancements

Cited by 12 publications

References 18 publications

Design of Oil Field Data Fusion Integration Platform

Design of Oil Field Data Fusion Integration Platform

Dissimilarity‐based test case prioritization through data fusion

Hybrid Centralized Peer to Peer Architecture for Resource Discovery and Secure Communication in Internet of Things

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