Research in Secure IoT-Edge-Cloud Computing Continuum
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 December 2024 | Viewed by 1227
Special Issue Editors
Interests: network security; applied cryptography; computer networks; privacy- enhancing technologies; machine learning
Interests: cybersecurity; information security; distributed web and mobile-based information systems and applications; digital assets intellectual property protection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development of the Internet of Things (IoT) and its associated technologies in recent decades has enhanced data collection, exchange, communication, and control regarding people, processes, and things. In tandem, edge computing and IoT converge have been employed to address the limitations of cloud computing in handling the deluge of real-time data. While the cloud provides unparalleled storage and computational capabilities, the sheer volume of data generated by IoT devices necessitates a more distributed and responsive approach. Edge computing acts as a strategic intermediary, enabling data processing closer to the point of generation. This collaborative relationship creates a seamless flow, where the edge handles immediate data needs, and the cloud, with its vast resources, takes on complex analytics, storage, and long-term processing; this forms a dynamic and interconnected ecosystem—the Computing Continuum. As organizations increasingly leverage these technologies to drive innovation and harness the power of data, ensuring the security and resilience of this continuum becomes essential. To tackle the challenges and enhance the benefits of various approaches, we require open, efficient, and collective threat intelligence tools that support the establishment of a culture for the security chain, covering communication, data collection, data transport, and data processing.
For this purpose, this Special Issue will be focusing upon, but not limited to the following topics:
- AI-based solutions for the detection of DDoS attacks in IoT, Edge and/or Cloud;
- Distributed and centralized measures for enabling privacy-aware computing;
- Federated/Distributed Learning-based approaches for security;
- Zero-trust architectures for the dynamic integration and management of IoT devices;
- Collective threat intelligence and sharing;
- Collaborative defense mechanisms;
- (Self-sovereign) identity management solutions for IoT and Edge devices;
- Secure and efficient data sharing solutions for the computing continuum;
- Scalable (quantum-safe) key management solutions.
Dr. Orhan Ermiş
Dr. Carlos Serrão
Guest Editors
Manuscript Submission Information
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Keywords
- Internet of Things
- cybersecurity
- identity management
- privacy
- artificial intelligence
- threat intelligence
- collaborative defense
- data sharing
- key management
- zero-trust
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