Crowdsensing Technologies and Artificial Intelligence for Cyber Security
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 622
Special Issue Editor
Special Issue Information
Dear Colleagues,
We would like to propose a Special Issue of Sensors focused on the emerging techniques and research of "Crowdsensing Technologies and Artificial Intelligence for Cyber Security". We believe that this Special Issue will provide an excellent platform for researchers and practitioners to present their latest achievements and discuss the challenges and opportunities in this critical field.
In the era of the Internet of Everything, cyber security has become a critical concern for individuals, organizations, and governments. With the emergence of various cyber threats and attacks, there is a growing need for advanced technologies and intelligent systems to protect critical infrastructures, sensitive data, and privacy. In recent years, the integration of sensing technologies and artificial intelligence (AI) has emerged as a promising approach to improve cyber security.
Sensing technologies, including various types of sensors and data collection mechanisms, play a crucial role in obtaining real-time information about cyberspace. These technologies enable the monitoring and detection of potential threats, anomalous activities, and vulnerabilities across networked systems. By capturing and analyzing data from diverse sources, such as network traffic, system logs, and physical sensors, sensing technologies offer valuable insights into the state of cybersecurity.
Simultaneously, AI algorithms and techniques demonstrate significant potential in predicting, analyzing, and alleviating cyber risks. AI algorithms can learn from mass data to identify patterns, anomalies, and malicious activities. AI-driven intrusion detection systems can proactively identify and respond to cyber attacks, enabling rapid incident response and threat mitigation. Additionally, AI-powered threat intelligence platforms can gather, analyze, and correlate security information from various sources to provide valuable situational awareness.
The integration of sensing technologies and AI in the field of cybersecurity offers several advantages. Firstly, sensing technologies provide a wealth of data that can be leveraged by AI algorithms to accurately identify and classify cyber threats. Secondly, AI algorithms can enhance the capabilities of sensing technologies by enabling real-time analysis, automated decision making, and adaptive response mechanisms. This synergy creates a powerful defense mechanism against evolving cyber threats and helps to maintain a robust security posture.
By exploring the intersection of sensing technologies and AI, this Special Issue aims to highlight the latest research findings and practical applications in cybersecurity and facilitate the development of innovative solutions to tackle emerging threats. This Special Issue will serve as a platform for researchers and practitioners to share their expertise, exchange ideas, and contribute to the advancement of sensing technologies and AI for cybersecurity.
Objective and Scope:
We encourage researchers and practitioners to contribute original research papers, reviews, or survey articles covering a wide range of topics related to sensing technologies, AI algorithms, data analysis techniques, and applications of cyber security. Potential topics of interest for this Special Issue include, but are not limited to, the following:
- Sensing and detection techniques for cyber threats and attacks;
- AI-based security detection systems;
- Secure and privacy-preserving sensor fusion techniques in cybersecurity;
- Distributed machine learning and deep learning algorithms for cyber security;
- Behavioral analysis and anomaly detection;
- AI-based anomaly detection and response mechanisms for cybersecurity;
- Secure crowdsensing and edge computing technologies;
- Integration of sensing and AI technology for cyber–physical system security;
- Security and privacy in blockchain and IoT systems;
- Cryptographic AI protocol in cybersecurity.
Submission Guidelines:
We invite researchers from academia, industry, and institutions to submit their original research articles, reviews, or survey papers to this Special Issue. Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All submissions will undergo a rigorous peer-review process to ensure their quality and relevance. Detailed submission guidelines and templates can be found on the website of Sensors.
Dr. Mingwu Zhang
Guest Editor
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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.
