Sensor Networks Security and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 13148
Special Issue Editors
Interests: cybersecurity; privacy; Internet of Things; blockchain
Special Issues, Collections and Topics in MDPI journals
Interests: mobile and wireless networks security and privacy; VoIP security; IoT security and privacy; DNS security; intrusion detection systems; security education
Special Issues, Collections and Topics in MDPI journals
Interests: energy optimization; energy packet networks; networked systems; physical and biological networks; probability models; natural computation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The current trend towards an interconnected society is being driven by an unprecedented technological convergence, which enables the development of new data-driven applications. For the realization of these applications, sensor networks represent a key component for the collection and exchange of large volumes of data through heterogeneous network technologies in the context of the well-known Internet of Things (IoT) paradigm. This data can be shared and correlated through artificial intelligence techniques to derive information and knowledge that can be used to support the deployment of applications in different domains, like eHealth, Industry 4.0 or smart mobility, and many other applictions.
However, the massive deployment of sensor networks in our daily lives entails an increase of cybersecurity risks that can ultimately affect the safety of citizens. This is especially relevant in certain scenarios, such as body area networks, which are used to exchange medical data about patients. Additionally, while in recent years there has been a growing interest in the development of secure sensor networks, there are still a number of challenges that need to be considered to leverage the benefits of new data-driven applications. In particular, widely deployed cryptographic mechanisms and security protocols may be impractical in this context due to the limitations of underlying network technologies, or the constrained resources of interconnected sensors and actuators. Furthermore, the potentially huge number of these devices requires automated and efficient mechanisms to foster secure deployment. Moreover, security solutions for sensor networks need to manage the changing and dynamic environment (e.g., due to software updates or loss of network connectivity) where such devices could be deployed. These changes may be also due to new identified vulnerabilities and security attacks that need to be detected and mitigated automatically to adapt the network behavior accordingly. Additionally, the protection of exchanged data needs to be addressed from a technological and legal perspective, taking into account current regulations on security and data protection. In the coming years, it is expected that the development of security solutions for sensor networks can take advantage of emerging technologies, such as the use of blockchain, or the development of new distributed artificial intelligence techniques, such as federated learning.
Thus, this special issue seeks original contributions focused on improving the security of sensor networks for the sake of enabling the development of trustworthy data-driven services and applications.
Dr. José L. Hernández Ramos
Dr. Georgios Kambourakis
Prof. Dr. Erol Gelenbe
Dr. Gianmarco Baldini
Guest Editors
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Keywords
- Identity management and access control in sensor networks
- Trust management in sensor networks
- Lightweight cryptography for sensor networks
- Risk management in sensors networks
- Intrusion detection systems for sensor networks
- Privacy-preserving data analytics
- Blockchain-based approaches to improve sensor networks security
- Network wide security and vulnerability assessment
- Application of software-defined networks (SDN) and network functions virtualization (NFV) in sensor networks
- Evolution of sensor networks toward 5G-enabled IoT systems
- Innovative use cases and scenarios based on sensor networks
- Data-centric security for sensor networks
- Application of machine learning techniques for intelligent security in sensor networks
- Federated learning in sensor networks
- Secure orchestration of sensor networks
- Security in low-power wide-area networks (LPWAN)
- Efficient and scalable security for sensor networks
- Standardization activities for secure sensor networks
- Enforcement of data protection regulations based on secure sensor networks
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