Special Issue "Enterprise Security, Privacy and Risk for Internet of Things and Big Data (ESPR-IoTBD)"
Deadline for manuscript submissions: 30 November 2020.
Interests: Internet of Things; Big Data; Industry 4.0; Security/Risk and Cloud/Edge/Fog Computing
Interests: security; big data; knowledge management; cloud computing; games
Special Issues and Collections in MDPI journals
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
Dr. Gary Wills
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.
- Security and Privacy
- Internet of Things
- Big Data
- Enterprise Security
- Privacy and Risk (ESPR) for various disciplines