Cyber-Security-Based Internet of Things for Smart Homes
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 7623
Special Issue Editors
Interests: Internet of Things; security of data; health care; blockchains; diseases; learning (artificial intelligence); data privacy; patient monitoring; cryptography; decision support systems; mobile robots; neural nets; authorisation; computer network security
Special Issues, Collections and Topics in MDPI journals
Interests: high-performance computing; scientific computing; parallel systems; cloud computing; machine learning; cybersecurity; simulation; service-oriented architectures
Special Issue Information
Dear colleagues,
The rapidly evolving technology of the Internet of Things introduces new cybersecurity challenges, especially where installations handle and process personal and private data. As such, smart homes constitute an ecosystem which is prone to new complex cyberattacks and attractive to attackers.
This Special Issue aims to present recent advances in new techniques for the cyber defense of smart homes, by taking advantage of recent developments in machine, deep and federated learning, distributed ledger technologies such as blockchain, as well as behavioral monitoring of IoT devices. Topics of interest include but are not limited to the following:
- Cybersecurity architectures for IoT and smart homes;
- Cybersecurity analytics platforms for IoT;
- Blockchain for IoT and smart homes;
- Machine and deep learning for the security of IoT;
- Behavioral monitoring of IoT;
- Federated IoT smart home infrastructures with focus on security and privacy;
- Cyberthreat intelligence;
- AI-based methods for malware and ransomware;
- Privacy and trust in IoT.
Dr. Konstantinos Votis
Dr. Konstantinos M. Giannoutakis
Dr. Nikolaos Dimitriou
Guest Editors
Manuscript Submission Information
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Keywords
- Smart homes
- Internet of Things
- Cyber security
- Privacy
- Intrusion detection systems
- Network behavior analysis
- Machine/deep/federated learning
- Distributed ledger technologies
