2026-10-12T08:10:47Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33635017 2026-09-11T19:26:00Z category_29161 category_29164 category_28924 item_type_3 month_year_09_2026

Data and Code for “A Temperature-Adaptive Logit-Standardized Knowledge Distillation for Lightweight Network Intrusion Detection” XiaoFang Dong (24807691) Deep learning Neural networks Cybersecurity and privacy not elsewhere classified knowledge distillation techniques Logit standardization Network intrusion detection Adaptive temperature <p dir="ltr">This dataset contains the minimal data, source code, experimental configurations, and numerical results underlying the findings reported in the manuscript entitled “A Temperature-Adaptive Logit-Standardized Knowledge Distillation for Lightweight Network Intrusion Detection” (PONE-D-26-01596R2).</p><p dir="ltr">The deposited materials include the data used in the NSL-KDD and CICIDS2017 experiments, data-loading and preprocessing code, model implementations, training and evaluation scripts, experimental configurations, dependency files, and numerical outputs supporting the tables and figures reported in the manuscript.</p><p dir="ltr">The kd_revision_project directory contains the implementation of the proposed temperature-adaptive logit-standardized knowledge distillation method and the main experiments. The legacy_notebooks directory contains supplementary notebooks for the earlier fixed-temperature knowledge-distillation experiments. Instructions for reproducing the experiments and descriptions of the files are provided in the accompanying README files.</p> 2026-09-11T19:26:00Z Dataset Dataset 10.6084/m9.figshare.33635017.v1 https://figshare.com/articles/dataset/Data_and_Code_for_A_Temperature-Adaptive_Logit-Standardized_Knowledge_Distillation_for_Lightweight_Network_Intrusion_Detection_/33635017 CC BY 4.0