EURASIP Journal on Information Security

Aims & Scope✦ Inferred from recent articles

The EURASIP Journal on Information Security focuses on the development and evaluation of advanced techniques for detecting and mitigating various cyber threats. This includes research into deep learning and neuromorphic approaches for network intrusion detection, methods for advanced persistent threat attribution using cyber threat intelligence, and ensemble learning models for phishing website detection. The journal also covers speaker recognition, anonymization of graph data, password hardening mechanisms, detection of audio deepfakes, post-quantum cryptography, IoT access control systems, network anomaly detection, steganographic techniques for covert communication, security of time-sensitive networks, anomaly detection in HTTP traffic, lightweight architectures for image steganalysis, and explainability-driven assessment of deepfake detector robustness.

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Subject Classification