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ESPR-IoTBD 2020 : Applied Sciences (Q2), Enterprise Security, Privacy and Risk for Internet of Things and Big Data (ESPR-IoTBD)

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Link: https://www.mdpi.com/journal/applsci/special_issues/ESPR_IoTBD
 
When N/A
Where N/A
Submission Deadline Nov 30, 2020
Notification Due Jan 15, 2020
Categories    enterprise security   risk   internet of things   big data
 

Call For Papers

Special Issue "Enterprise Security, Privacy and Risk for Internet of Things and Big Data (ESPR-IoTBD)"

Special Issue Editors

Prof. Dr. Victor Chang Website
Guest Editor
Computational Systems Biology and Data Analytics (CBD) Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, Tees Valley, TS1 3BX, UK
Interests: Internet of Things; Big Data; Industry 4.0; Security/Risk and Cloud/Edge/Fog Computing

Dr. Gary Wills Website
Guest Editor
University of Southampton, Southampton SO17 1BJ, United Kingdom
Interests: security; big data; knowledge management; cloud computing; games

Special Issue Information
Keywords
Published Papers
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2020.
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Special Issue Editors

Prof. Dr. Victor Chang Website
Guest Editor
Computational Systems Biology and Data Analytics (CBD) Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, Tees Valley, TS1 3BX, UK
Interests: Internet of Things; Big Data; Industry 4.0; Security/Risk and Cloud/Edge/Fog Computing

Dr. Gary Wills Website
Guest Editor
University of Southampton, Southampton SO17 1BJ, United Kingdom
Interests: security; big data; knowledge management; cloud computing; games
Special Issues and Collections in MDPI journals
Special Issue Information
Dear Colleagues,

Enterprise Security, Privacy, and Risk (ESPR) is the key to achieving global information security in business and organizations. The Internet of Things and Big Data (IoTBD) provide a new paradigm for enterprise, necessitating special attention to securing businesses. However, this new trend needs to be more systematically assessed with respect to ESPR, which is a factor in sustaining cloud technology by building-in trust. For example, current challenges with cyber security and application security flaws are highlighting important lessons that, once learned, will thereby lead to the adoption of best practices. Similarly, as the demand for IoTBD services increases, the importance of security, privacy, and risk is always growing. We survey the importance of ESPR as a unique and rising field to ensure all aspects of both security and risks can be identified, surveyed, tested, prototyped, and minimized with recommendations and lessons learned and disseminated. The scope of ESPR has expanded into risk management/analysis, the management of future technologies such as the Internet of Things and Big Data, and modern ethical hacking methods in many disciplines such as finance, healthcare, government, education, etc. We need to provide a robust and enhanced level of security. As a result, we seek high-quality papers demonstrating proofs-of-concept, prototype, and successful implementation for IoTBD in ESPR.

Topics include the followings but not limited to:

Algorithms, software engineering, and development for ESPR
System design and implementation for ESPR
Testing (software engineering; penetration; product development) for ESPR
Encryption (all aspects) for ESPR
Firewall, access control, identity management for ESPR
Experiments of using security solutions and proof-of-concepts for ESPR
Large-scale simulations in the Cloud, Big Data, and Internet of Things for ESPR
Intrusion and detection techniques for ESPR
Social engineering and ethical hacking: techniques and case studies for ESPR
Risk Modeling, business process modeling, and analytics for ESPR
Financial modeling, financial process modeling, and financial risk analysis for ESPR
Supply Chain and Operations for ESPR
Trust and privacy for ESPR
Data security, data recovery, and disaster recovery for ESPR
Data center management for ESPR
Risk management and control for ESPR
Neutrosophic and formal methods for ESPR
Emerging issues and recommendations for organizational security for ESPR
Social network analysis, emerging issues in social networks for ESPR
Quantitative analysis and regression for ESPR
Architecture (technical or organizational) for ESPR
Case studies for ESPR
Prof. Dr. Victor Chang
Dr. Gary Wills
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 1800 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.

Keywords
Security and Privacy
Risk
Internet of Things
Big Data
Enterprise Security
Privacy and Risk (ESPR) for various disciplines

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