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 991
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
