Data Processing, Privacy and Security Challenges for Fog and Cloud Computing in the Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 1 June 2025 | Viewed by 81
Special Issue Editors
Interests: privacy enhancing techniques; IoT-big data security and privacy; applied cryptography
Special Issues, Collections and Topics in MDPI journals
Interests: mobile healthcare; Internet of Things; wearable computing; security and privacy for communication and networking systems
Interests: Internet of Things (IoT); edge/fog/cloud computing; machine learning; data science; smart cities; explainable AI (XAI)
Interests: streaming analytics; mobility behaviour analytics; edge computing; edgeAI; machine learning on graphs; tinyML; Internet of Things; visual analytics; geospatial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the Internet of Things (IoT) landscape, the interplay between fog and cloud computing creates a mutually beneficial yet complex relationship. This complexity arises from Fog computing decentralizing data handling, bringing it closer to the IoT devices at the network’s edge. This proximity cuts down on latency and conserves bandwidth, facilitating instantaneous analytics and decisions on a local scale—essential for applications like smart healthcare, smart cities. Nonetheless, this decentralization heightens concerns over privacy and security, such as data privacy and integrity, and unauthorized intrusions. Therefore, without adequately addressing security and privacy concerns, the benefits of fog and cloud computing in IoT cannot be fully realized.
This Special Issue therefore aims to put together original research on data processing, privacy and security challenges for Fog and Cloud Computing in IoT.
Potential topics include but are not limited to:
- Quality of Service (QoS) in Fog and Cloud computing for IoT.
- Interoperability challenges and solutions in Fog and Cloud computing for IoT.
- Distributed storage solutions in Fog and Cloud computing for IoT.
- Threat Detection, authentication in Fog and Cloud computing for IoT.
- Privacy enhancing techniques for Fog and Cloud computing for IoT.
- Trustworthy computing techniques for Fog and Cloud computing for IoT.
- Cross-computing technologies for Fog-Cloud integration.
- Integrated Sensing in Ground-Air-Space Network.
- Trustworthy information Integration in Industrial IoT.
- Data Processing, Privacy and Security in , but not limited to, Industrial IoT, Internet of Moving Things, Internet of Medical Things, and underwater multi-modal IoT.
- DL/ML solutions for IoT information integration.
- ML/AI to improve IoT functionalities
- Challenges in Fog and Cloud computing scenarios, eHealthcare, smart cities, etc.
Prof. Dr. Rongxing Lu
Dr. Xiaohui Liang
Dr. Hung Cao
Prof. Dr. Monica Wachowicz
Guest Editors
Manuscript Submission Information
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Keywords
- Internet of Things
- fog and cloud computing
- data processing
- fog node security
- data integrity and privacy
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