{"id":"W4415188405","doi":"10.5539/mas.v19n2p60","title":"Field Portioning Approach for Lightweight Java Rule-based Anomaly Detection in IPv6 Tunneling Environments","year":2025,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Testbed; IPv6; IPv4; Intrusion detection system; Network packet; Field (mathematics); Anomaly detection; Java","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007603851,0.0003658747,0.0003836552,0.0008221575,0.0002387513,0.000739183,0.001042048,0.0003516104,0.0007672295],"category_scores_gemma":[0.002103475,0.0002298273,0.0002804858,0.0003168317,0.0003331866,0.001169951,0.0006593167,0.0005831292,0.0004428494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466062,"about_ca_system_score_gemma":0.0004890211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621424,"about_ca_topic_score_gemma":0.0006793046,"domain_scores_codex":[0.9992839,0.00008693974,0.0001128508,0.0001710585,0.0002948981,0.00005046526],"domain_scores_gemma":[0.9983698,0.00044854,0.0002399154,0.0005595714,0.0003091818,0.0000730475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006097904,0.0005036406,0.01256808,0.0001758275,0.00007810947,0.0004565517,0.0002931426,0.02350654,0.3288727,0.006851657,0.001905527,0.6241785],"study_design_scores_gemma":[0.00005327426,0.0004286788,0.007515094,0.00003259259,0.0000861017,0.001333145,0.00007639662,0.681452,0.2889962,0.004861848,0.01507589,0.00008871414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07302332,0.0001399754,0.9112565,0.00005078981,0.00004269433,0.0001566368,0.0001036307,0.0136754,0.001551101],"genre_scores_gemma":[0.5127432,0.0001197958,0.4842972,0.0001002886,0.00002333634,0.0001048939,0.0003297323,0.0003079835,0.001973642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001042048,"threshold_uncertainty_score":0.004021406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009562785116419247,"score_gpt":0.2211405093023873,"score_spread":0.2115777241859681,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}