Secure Integration of IoT & Digital Twins
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 12443
Special Issue Editors
Interests: multimodal data communications systems; cloud transmission/streaming/synchronization; wireless communication systems; evolution of WiMAX technology; science information network; Internet of Things; cloud computing; big data
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); artificial intelligence (AI); haptic communications; QoS control; big data analysis; cloud computing; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital Twin is a recently developed technique that offers more reliable results for novel and demanding systems. The Digital Twins concept is most frequently used to better “predict” functionality through a virtual model designed to accurately reflect a physical object. Through such a system, useful information could be extracted about its reliability and its usage, as well as the degree of improvement of the existing system/object.
Current systems and their growth could be achieved in a more stable environment with the “help” of a parallel system where their use could be evaluated. With the use of a virtual system model based on a Digital Twin scenario, costs can also be cut considerably.
Thus, the importance of the Digital Twin concept is clear, though new challenges are arising in terms of security and the privacy of the data produced, transmitted, and managed from Internet of Things systems. In most cases, these data are referred to as Big Data due to their nature. Additionally, these types of systems are quite often related to and coexist with cloud systems. Therefore, a need arises for further research in the field of integrated systems that will provide more security and reliability.
The topics of interest include but are not limited to the following:
- Integration benefits of the Internet of Things and Digital Twins;
- Security challenges of a Digital Twin system of IoT-based cloud;
- Big Data secure management through a Digital Twin system;
- Secure machine learning IoT-based Big Data analytics in the cloud;
- Challenges and applications of IoT-based Big Data in Digital Twins;
- Security and privacy issues in Internet-of-Things-enabled systems in a Digital Twin scenario.
Dr. Christos L. Stergiou
Dr. Konstantinos E. Psannis
Guest Editors
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Keywords
- digital twins
- security
- integrated model
- Internet of Things
- big data
- cloud computing
- management
- efficient
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