Emerging Technologies for Network Security and Anomaly Detection
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 161
Special Issue Editors
Interests: software-defined networking; streaming data processing; network traffic analysis; FPGA system design; computer network security
Interests: software-defined networking; computer network security; optical networking; network optimization; in-network caching; edge computing systems
Interests: computer network security; mobile networks; machine learning; UAV-assisted networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing complexity of modern network infrastructures and the proliferation of cyber threats have created an urgent need for advanced security mechanisms and robust anomaly detection techniques. Traditional security solutions are often insufficient in detecting sophisticated cyberattacks, necessitating the development of innovative methodologies to ensure network resilience. This Special Issue aims to explore new technologies and approaches that enhance network security and anomaly detection, focusing on leveraging AI, machine learning, and emerging computational models.
We invite original research papers, review articles, and case studies contributing to the theoretical foundations, algorithmic advancements, and practical applications of network security and anomaly detection. Contributions that address real-world security challenges and propose novel frameworks are highly encouraged.
Topics of Interest
We welcome submissions on (but not limited to) the following topics:
- AI and machine learning for intrusion detection and anomaly detection;
- Blockchain and distributed ledger technologies for secure networking;
- Zero-trust architectures and their applications in modern networks;
- Next-generation intrusion prevention and detection systems;
- Federated learning and privacy-preserving network security;
- Threat intelligence and automated cyber threat response;
- Secure network protocols and cryptographic techniques;
- Deep learning approaches for network traffic analysis;
- Adversarial attacks and defenses in network security;
- Quantum computing and its implications for network security;
- Real-time anomaly detection in cloud, edge, and IoT networks;
- Software-defined networking (SDN) and network function virtualization (NFV) for security enhancement;
- Large-scale datasets and benchmarks for network anomaly detection;
- Case studies on security breaches and lessons learned.
Prof. Dr. Yu-Kuen Lai
Prof. Dr. Kouji Hirata
Dr. Tomotaka Kimura
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. Electronics 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 2400 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.
Keywords
- network security
- anomaly detection
- intrusion detection
- machine learning
- artificial intelligence (AI)
- zero-trust architecture
- threat intelligence
- blockchain
- software-defined networking (SDN)
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