Advanced Security Threats Detection and Prediction for Internet-of-Things
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 858
Special Issue Editors
Interests: big data; bioinformatics; computational intelligence; data science; energy monitoring and management; intelligent transportation; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; cloud security, cyber security; information security; internet-of-things; intrusion detection; mobile and web security; network performance evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global deployment of the Internet of Things has become more mature which has allowed connection and data exchange between devices and systems over the internet and communication networks. This has led to a significant annual growth rate of the cybersecurity market of 11.7% in order to protect the networks and systems from security threats [1].
In the old days, traditional machine learning algorithms were applied for security threat detection problems, in a lightweight and less computationally intensive manner. With the advent of technological development, more data are available, computational power has become less costly, and advanced algorithms such as deep learning, transfer learning, reinforcement learning, and optimization algorithms can be applied to further enhance the performance of the models.
The security threat detection problem can be formulated as a detection problem which examines the current status of a network/system. As a preventive measure, the prediction of future status has become an emergent research area that provides in-advance prediction. Mainly, it is challenged by a large portion of unseen data and requires domain knowledge to study the characteristics of data distribution.
[1] Justina Alexandra Sava, Cybersecurity market revenues worldwide 2021-2026, Statista, 14 Feb. 2022. Retrieved 1 May 2022 Online from https://www-statista-com.ezproxy.lib.hkmu.edu.hk/statistics/595182/worldwide-security-as-a-service-market-size/
This Special Issue intends to report high-quality research on security threat detection and prediction for the Internet of Things, more specifically state-of-the-art theories, methodologies, and systems for the design, development, deployment, and innovative use of artificial intelligence and advanced algorithms for applications in the Internet of Things. The topics of interest include, but are not limited to, the following:
- Account takeover attacks;
- Artificial intelligence;
- Big data;
- Deep learning;
- DoS/DDoS attacks;
- Insider threats;
- Intrusion detection;
- Network security;
- Machine learning;
- Malware (e.g., trojans, worms, and viruses);
- Optimization;
- Phishing attacks;
- Predictive modeling;
- Ransomware;
- Sensor networks;
- Web attacks.
Dr. Kwok Tai Chui
Dr. Brij Gupta
Guest Editors
Manuscript Submission Information
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