LAUSR

HyperEye: A Lightweight Features Fusion Model for Unknown Encrypted Malware Traffic Detection

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0 Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2025.3558353

Abstract: Recently, effectively identifying encrypted malicious traffic without decryption in consumer applications relies heavily on high-quality labeled traffic datasets. However, this harms models for incorrect labeling and requires more efficient real-time identification of encrypted unknown ones.… read more here.

Keywords: detection; malware; malicious traffic; hypereye lightweight ... See more keywords

MCRe: A Unified Framework for Handling Malicious Traffic With Noise Labels Based on Multidimensional Constraint Representation

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0 Published in 2024 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2023.3318962

Abstract: Due to the limitations of the existing annotation methods, the prevalence of label noise can be caused in realistic malicious traffic datasets, which has a significant impact on the training and evaluation of deep learning-based… read more here.

Keywords: malicious traffic; representation; data cleaning; mcre ... See more keywords

AFF_CGE: Combined Attention-Aware Feature Fusion and Communication Graph Embedding Learning for Detecting Encrypted Malicious Traffic

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0 Published in 2024 at "Applied Sciences"

DOI: 10.3390/app142210366

Abstract: While encryption enhances data security, it also presents significant challenges for network traffic analysis, especially in detecting malicious activities. To tackle this challenge, this paper introduces combined Attention-aware Feature Fusion and Communication Graph Embedding Learning… read more here.

Keywords: malicious traffic; detecting encrypted; aff cge; traffic ... See more keywords

SOE: A Multi-Objective Traffic Scheduling Engine for DDoS Mitigation with Isolation-Aware Optimization

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0 Published in 2025 at "Mathematics"

DOI: 10.3390/math13111853

Abstract: Distributed Denial-of-Service (DDoS) attacks generate deceptive, high-volume traffic that bypasses conventional detection mechanisms. When interception fails, effectively allocating mixed benign and malicious traffic under resource constraints becomes a critical challenge. To address this, we propose… read more here.

Keywords: multi objective; soe; malicious traffic; ddos mitigation ... See more keywords