{"id":"W4412040138","doi":"10.32604/cmc.2025.064414","title":"NADSA: A Novel Approach for Detection of Sinkhole Attacks Based on RPL Protocol in 6LowPAN Network","year":2025,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"6LoWPAN; Sinkhole; Protocol (science); Computer network; Computer science; Computer security; Geography; Medicine; IPv6; World Wide Web; Archaeology; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003499468,0.001251793,0.00241297,0.001019742,0.0004646736,0.001589565,0.002802555,0.0007771216,0.00008588793],"category_scores_gemma":[0.0001782358,0.001294843,0.0004569867,0.001390242,0.0002732113,0.0009743507,0.001426563,0.0004442106,0.00003723615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784727,"about_ca_system_score_gemma":0.0002815731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000335423,"about_ca_topic_score_gemma":0.0000631303,"domain_scores_codex":[0.9911471,0.001005127,0.003067411,0.002362384,0.0007466707,0.001671307],"domain_scores_gemma":[0.9945979,0.000802792,0.001640597,0.002114833,0.0005997777,0.0002441204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004334748,0.002155029,0.0001783045,0.00232473,0.0003378679,0.0000345362,0.0007697155,0.01118804,0.8975525,0.01460087,0.01406255,0.05246105],"study_design_scores_gemma":[0.01350437,0.001729598,0.004204212,0.003036756,0.0001075228,0.00003602265,0.00003461445,0.1866431,0.7410025,0.001995116,0.04558524,0.002120933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1088468,0.00002843083,0.8444811,0.0003718724,0.009198871,0.03573665,0.0001032152,0.0007327183,0.0005003681],"genre_scores_gemma":[0.8372275,0.000008142835,0.1360149,0.001798233,0.002279969,0.0221343,0.0001553237,0.000153046,0.0002285791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7283807,"threshold_uncertainty_score":0.9994469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327827972058689,"score_gpt":0.2531949490090319,"score_spread":0.2399166692884451,"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."}}