Network Traffic Analysis for Enhanced Cybersecurity
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 January 2027 | Viewed by 850
Editor
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to bring together researchers and practitioners involved in the field of network traffic analysis for cybersecurity. This Special Issue aims to bring together academics and industry professionals to present innovative solutions that address contemporary challenges in securing complex network environments (including cloud infrastructures, IoT, and 5G/6G networks).
Network traffic analysis is broadly understood as the process of capturing, monitoring, and analyzing network traffic to detect anomalies, identify threats, and enhance the overall security posture of information systems.
This Special Issue invites submissions that present novel methodologies, models, and frameworks to enhance cybersecurity. In this Special Issue, articles describing innovative methodologies, models, frameworks, and practical solutions that advance the capabilities of traffic analysis for proactive cyber defense are welcomed.
Contributions addressing the challenges of encrypted traffic analysis, real-time monitoring, and privacy preservation are also strongly encouraged. We particularly encourage contributions exploring the application of traffic analysis to address contemporary security challenges within complex environments.
The topics of particular interest include, but are not limited to, the following:
- Network traffic modeling, profiling, and visualization;
- Intelligent anomaly and intrusion detection systems;
- Encrypted and privacy-preserving traffic analytics;
- Real-time threat detection and automated response;
- Cyber threat intelligence and network forensics;
- Privacy-Preserving Techniques.
Dr. Mingshu He
Guest Editor
Manuscript Submission Information
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Keywords
- cybersecurity
- traffic analysis
- anomaly detection
- encrypted traffic
- real-time detection
- privacy preservation
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