A Community-Based IoT Service Platform to Locally Disseminate Socially-Valuable Data : Best effort local data sharing network with no conscious effort?

Shoji, Yozo; Nakauchi, Kiyohide; Liu, Wei; Watanabe, Yoshito; Maruyama, Kazuhiro; Okamoto, Kouji

doi:10.1109/wf-iot.2019.8767237

Cited by 14 publications

(4 citation statements)

References 7 publications

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“…In CRDH algorithm, the hidden data is integrated into the host image by changing the band of high-frequency coefficients described in Figure 3, that is, the HH subband. As shown in Figures 1, 2, and 4, the proposed reversible data hiding scheme is based on both integer wavelet transform and eigen decomposition with encryption [16,17]. Initially, integer wavelet transform divides the host image into four frequency subfields as LL, HL, LH, and HH bands.…”

Section: Reversible Data Hidingmentioning

confidence: 99%

Internet of Things-Based Data Hiding Scheme for Wireless Communication

Shobanadevi

Maragathm

Gangadharan

et al. 2022

Wireless Communications and Mobile Computing

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The substantial rise of information technology has facilitated the methods of access to digital information and internet of things (IOT). Digital image processing handles the digital material to store and distribute more effectively with decreased time and space complexity. However, these tactics undermine the privacy of digital materials. A recent study focuses on shielding digital materials from illicit use and distribution by making reversible data strategies to tackle the risk of privacy breaches for digital content. In this study, a composite reversible data hiding (CRDH) approach is suggested. CRDH employed the integer wavelet transform (HAAR transform) with the HH band’s eigenvalue decomposition. The suggested CRDH first performed the IWT transformation on the cover image (CI) and parsed it into four consecutive frequency subbands, namely, LL, HL, LH, and HH. Sensitive data of the proposed approach are incorporated by merging the HH band of the cover image’s individual values with the encrypted eigenvalues of the confidential data. The choosing of casing art is such a method that values are within a range. The confidential data picture and HH band’s frequency band are roughly the same; thus, modifying the individual values will not affect the quality of the confidential data image and the HH band’s content. The suggested strategy’s primary purpose is to design a data concealing technique that hinders the verification of digital information by maintaining a high rate of peak signal-to-noise ratio (PSNR). The PSNR of the existing technology is less than 50 per cent of the total accessible data set. The PSNR value shows the picture’s visual quality, where the PSNR increases the better image quality. Therefore, concealing data is essential for the technique that inhibits authentication and keeps a high rate of PSNR. The suggested approach fulfils this aim, gets a PSNR rate of above 50 per cent, and hits 59 per cent for line.

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Section: Reversible Data Hidingmentioning

confidence: 99%

Internet of Things-Based Data Hiding Scheme for Wireless Communication

Shobanadevi

Maragathm

Gangadharan

et al. 2022

Wireless Communications and Mobile Computing

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“…is idea was prototyped by the use of soft drink facilities, i.e., sales machinery, vans, and taxi services facilities, i.e., taxis in Tokyo, Japan, to show a prototype platform. e platform's role as a data transfer network for socially beneficial data dissemination can be seen, and the result is evaluated [25].…”

Section: Industrial Internet Of Ingsmentioning

confidence: 99%

Big Data and Its V’s with IoT to Develop Sustainability

Chu

Nazir

Wang

et al. 2021

Scientific Programming

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Internet of Things (IoT) has been considered as one of the emerging network and information technologies that can comprehend automatic monitoring, identification, and management through a network of smart IoT devices. The effective use of IoT in different areas has improved efficiency and reduced errors. The rapid growth of smart devices such as actuators, sensors, and wearable devices has made the IoT enable for smart and sustainable developments in the area. Physical objects are interlinked with these smart devices for the progression to analyse, process, and manage the surroundings data. Such data can then be further utilised for smarter decisions and postanalysis for different purposes. However, with the limited IoT resources, the management of data is difficult due to the restrictions of transmission power place and energy consumption, and the processing can put pressure on these smart devices. The network of IoT is connected with big data through Internet for manipulating and storing huge bulk of data on cloud storage. The secure framework based on big data through IoT is the awful need of modern society which can be energy efficient in a sustainable environment. Due to the intrinsic characteristics of sensors nodes in the IoT, like data redundancy, constrained energy, computing capabilities, and limited communication range, the issues of data loss are becoming among the main issues which mostly depend on the completeness of data. Various approaches are in practice for the recovery problem of data, such as spatiotemporal correlation and interpolation. These are used for data correlation and characteristics of sensory data. Extracting correlation data became difficult specifically as the coupling degree between diverse perceptual attributes is low. The current study has presented a comprehensive overview on big data and its V’s with Internet of Things to describe the research into the area with in-depth review of existing literature.

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“…e paper presented an approach of city geospatial dashboard for the collection, sharing, and visualization of the data collected from different sources like satellite data, IoT devices, and other big data [58]. e contribution of the paper is to present the concept of constructing community-based platform of cross IIoT service through utilizing the existing mobile and fixed facilities as wireless IoT gateway in a city which facilitates the easy implementation of IoT gateway at local service for bringing economical and social values [59].…”

Section: Support Of Iiot Regarding Big Data Tools and Techniquesmentioning

confidence: 99%

Use of Big Data Tools and Industrial Internet of Things: An Overview

Wang

Jan

Chu

et al. 2020

Scientific Programming

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Big data is ever playing an important role in the industry as well as many other organizations. With the passage of time, the volume of data is increasing. This increase will create huge bulk of data which needs proper tools and techniques to handle its management and organization. Different techniques and tools are being used to properly handle the management of data. A detailed report of these techniques and tools is needed which will help researchers to easily identify a tool for their data and take help to easily manage the data, organize the data, and extract meaningful information from it. The proposed study is an endeavour toward summarizing and identifying the tools and techniques for big data used in Industrial Internet of Things. This report will certainly help researchers and practitioners to easily use the tools and techniques for their need in an effective way.

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A Community-Based IoT Service Platform to Locally Disseminate Socially-Valuable Data : Best effort local data sharing network with no conscious effort?

Cited by 14 publications

References 7 publications

Internet of Things-Based Data Hiding Scheme for Wireless Communication

Internet of Things-Based Data Hiding Scheme for Wireless Communication

Big Data and Its V’s with IoT to Develop Sustainability

Use of Big Data Tools and Industrial Internet of Things: An Overview

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