An intelligent deep representation learning with enhanced feature selection approach for cyberattack detection in internet of things enabled cloud environment. [PDF]
Sci RepAlamro H +7 more
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks. [PDF]
Sensors (Basel)Sukhni BA, Manna SK, Dave JM, Zhang L.
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Analysis of Prevention of XSS Attacks at Client Side
International Journal of Computer Applications, 2017 Dipesh Vaya, Teena Hadpawat
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KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection. [PDF]
Sci RepUllah S, Wu J, Kamal MM, Saudagar AKJ.
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A deep reinforcement based echo state network for network intrusion classification. [PDF]
PLoS OneAlam K, Bhuiyan MH, Farid DM.
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Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization. [PDF]
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Harnessing multimodal deep representation with dimensionality reducing approach for enhanced intrusion detection system in internet of things networks. [PDF]
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Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach. [PDF]
Sensors (Basel)Le TT, Cho J, Shin D, Kim H.
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning. [PDF]
Sci RepMa H, Zhang W, Zhang D, Chen B.
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Prevention and Detection Techniques for XSS Injection Attacks
International Journal of Computer Trends and Technology, 2014 Kamlesh Kumar Raghuvanshi +1 more
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