Research on encrypted malicious traffic detection in power information interaction: application of the electricity multi-granularity flow representation learning approach. [PDF]
Sci RepWu Z +5 more
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention
网络与信息安全学报The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective
SUN Jianwen +3 more
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Efficient Detection of Malicious Traffic Using a Decision Tree-Based Proximal Policy Optimisation Algorithm: A Deep Reinforcement Learning Malicious Traffic Detection Model Incorporating Entropy. [PDF]
Entropy (Basel)Zhao Y, Ma D, Liu W.
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A hybrid machine learning approach for detecting DDoS attacks in software-defined networks. [PDF]
Sci RepMahar IA +5 more
europepmc +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Sensors (Basel)Moila RL, Velempini M.
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Malicious user classification in cognitive 5G networks using novel improved bidirectional encoder representations from transformers model. [PDF]
Sci RepS S, Malligeswari N, Graf FT, Murugan V.
europepmc +1 more source
BigFlow-NIDS: A large-scale dataset for network intrusion detection in big data environment. [PDF]
Data BriefUddin MB, Arefin MS, Hussain MMM.
europepmc +1 more source
Trust - IoV: An open benchmark dataset for trust management in the internet of vehicles. [PDF]
Data BriefWang Y, Mahmood A, Wang X.
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Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Sci RepSaeed NH +3 more
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A Lightweight Sequential AI Framework for Real Time Intrusion Detection in Dynamic Vehicular Networks. [PDF]
Sci RepJeyaram G +3 more
europepmc +1 more source