Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability
(IF: 3.9)] Topic on Recent Advances in Security, Privacy, and Trust
The full call for papers is available on the official website:
https://www.mdpi.com/topics/ELY82W061L
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Participating Journals
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- Electronics (SCIE, IF=2.9)
- Journal of Cybersecurity and Privacy
- Mathematics (SCIE, IF=2.4)
- Remote Sensing (SCIE, IF=5.0)
- Sustainability (SCIE, IF=3.9)
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Paper Submission
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All papers need to be submitted electronically through the website:
https://www.mdpi.com/topics/ELY82W061L
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Important Dates
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Abstract submission deadline: 31 October 2025
Manuscript submission deadline: 31 December 2025
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Topic Information
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The proliferation of information, communication, and computer technologies
has brought us into the realm of cyber-physical-social system (CPSS). CPSS
comprises of the cyber space, physical space and social space, and their
integration such as cyber-physical system (CPS), Internet of Thing (IoT),
social computing system, and even the system integrating all three spaces.
Recently, CPSS has brought enormous opportunities that have significantly
influenced applications. However, there are increasing security, privacy,
and trust concerns such as exposure of user privacy and business
information in CPSS. Although theories and technologies about security,
privacy, and trust have been widely studied and applied in recent years,
existing methods are still insecure, impractical or inefficient. To address
these challenges, this topic solicits the latest research outcomes and
developments on security, privacy, and trust.
The topics of interest include, but not limited to the following:
- Privacy-enhancing technologies
- Privacy-preserving/secure/trust data analysis and processing
- Network security, privacy, and trust
- Differentially private data analysis
- Sustainable security, privacy, and trust
- Economics of security, privacy, and trust
- Blockchain and its applications
- IoT/CPS/CPSS security, privacy, and trust
- Security, privacy, and trust in edge/fog/cloud computing
- AI/Machine learning security
- Federated learning
- System security
- Hardware security
- Web security, privacy, and trust
- Big data, artificial intelligence for security, privacy, and trust
- Digital twin security, privacy, and trust
- Cryptographic techniques, cryptographic protocols
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Topic Editors
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- Dr. Jun Feng
Huazhong University of Science and Technology, China
Email: junfeng989@gmail.com
Website: http://faculty.hust.edu.cn/fengjun6/en/
- Dr. Changqing Luo
Virginia Commonwealth University, USA
Email: cluo@vcu.edu
Website: http://www.people.vcu.edu/~cluo/
- Dr. Mamoun Alazab
Charles Darwin University, Australia
Email: mamoun.alazab@cdu.edu.au
Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab
--
Dr. Jun Feng
Huazhong University of Science and Technology
Mobile: +86-18827365073
WeChat: junfeng10001000
E-Mail: junfeng989@gmail.com
Website: http://faculty.hust.edu.cn/fengjun6/en/
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