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Special Issue "Cloud Platform Sustainability Technologies for Industrial Internet of Things"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 July 2018)

Special Issue Editors

Guest Editor
Dr. Jongsung Kim

Dept. Math and Information, Kook Min Uiversity, Korea
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Guest Editor
Dr. Naveen Chilamkurti

School of Information Technology, La Trobe University, Australia
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Guest Editor
Dr. Shiuh-Jeng Wang

Dept. of Information Management, Central Police University, Taiwan
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Special Issue Information

Dear Colleagues,

The Industrial Internet of Things (IIoT) alters the existing term, Internet of Things (IoT), to apply more to the concept of the Smart Factory within sustainable enterprises’ manufacturing processes to elevate their products and services. However, unlike IoT as a consumer space, the current adoption level of IIoT is confined to what is traditionally called Operation Technology (OT) as the majority of manufacturing enterprises depend on a proprietary of information and automation technology solutions, primarily used for very specific limited usecases with reactive purpose. To handle the stringent and complex requirements of IIoT sustainability/realization/deployment, a cloud computing platform has to be a given, thereby enabling massive data collection, inter-operable semantic data exchange, and easy-to-use IIoT application deployment with reduced time, increased scale, lower cost, and increased flexibility. To this end, a cloud computing platform for IIoT needs to provide essential technological components, such as compute/storage cloud, complex event processing, device management, analytics dealing with large volumes of data, and structured data modeling as a type of IaaS, PaaS, and SaaS.

In this context, this Special Issue aims to demonstrate the latest research results, including the system architectures, protocols/techniques, and application/business models pertaining to cloud computing platforms for IIoT. The topics include, but are not limited to:

  • IaaS/PaaS/SaaS cloud sustainability for IIoT

  • System sustainability architecture for IIoT cloud platform

  • Data analytics on IIoT cloud platform sustainability

  • Device connectivity security for IIoT cloud platform

  • Complex event processing for IIoT cloud platform sustainability

  • Management protocols sustainability for IIoT cloud platform

  • Standardization and open source activities for IIoT cloud platform sustainability

  • Optimization and simulation of IIoT cloud platform sustainability

  • Security, Privacy, and Forensics Issues in platform sustainability

Dr. Jongsung Kim
Dr. Naveen Chilamkurti
Dr. Shiuh-Jeng Wang

Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle Research on Digital Forensic Readiness Design in a Cloud Computing-Based Smart Work Environment
Sustainability 2018, 10(4), 1203; https://doi.org/10.3390/su10041203
Received: 29 December 2017 / Revised: 29 March 2018 / Accepted: 12 April 2018 / Published: 16 April 2018
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Abstract
Recently, the work environments of organizations have been in the process of transitioning into smart work environments by applying cloud computing technology in the existing work environment. The smart work environment has the characteristic of being able to access information assets inside the
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Recently, the work environments of organizations have been in the process of transitioning into smart work environments by applying cloud computing technology in the existing work environment. The smart work environment has the characteristic of being able to access information assets inside the company from outside the company through cloud computing technology, share information without restrictions on location by using mobile terminals, and provide a work environment where work can be conducted effectively in various locations and mobile environments. Thus, in the cloud computing-based smart work environment, changes are occurring in terms of security risks, such as an increase in the leakage risk of an organization’s information assets through mobile terminals which have a high risk of loss and theft and increase the hacking risk of wireless networks in mobile environments. According to these changes in security risk, the reactive digital forensic method, which investigates digital evidence after the occurrence of security incidents, appears to have a limit which has led to a rise in the necessity of proactive digital forensic approaches wherein security incidents can be addressed preemptively. Accordingly, in this research, we design a digital forensic readiness model at the level of preemptive prevention by considering changes in the cloud computing-based smart work environment. Firstly, we investigate previous research related to the cloud computing-based smart work environment and digital forensic readiness and analyze a total of 50 components of digital forensic readiness. In addition, through the analysis of the corresponding preceding research, we design seven detailed areas, namely, outside the organization environment, within the organization guideline, system information, terminal information, user information, usage information, and additional function. Then, we design a draft of the digital forensic readiness model in the cloud computing-based smart work environment by mapping the components of digital forensic readiness to each area. To verify the draft of the designed model, we create a survey targeting digital forensic field-related professionals, analyze their validity, and deduce a digital forensic readiness model of the cloud computing-based smart work environment consisting of seven detailed areas and 44 components. Finally, through an analytic hierarchy process analysis, we deduce the areas that should be emphasized compared to the existing work environment to heighten the forensic readiness in the cloud computing-based smart work environment. As a result, the weightings of the terminal information Universal Subscriber Identity Module(USIM) card, collect/gain virtual machine image, etc.), user information (user account information analysis, analysis of user’s used service, etc.), and usage information (mobile OS artifact timeline analysis, action analysis through timeline, etc.) appear to be higher than those of the existing work environment. This is analyzed for each organization to preemptively prepare for the components of digital forensic readiness in the corresponding areas. Full article
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