{"id":"W2889527568","doi":"10.1109/ccece.2018.8447756","title":"Survey of Identity-Based Attacks Detection Techniques in Wireless Networks Using Received Signal Strength","year":2018,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"RSS; Computer science; Wireless; Identity (music); Wireless network; Computer security; Computer network; Cryptography; Signal strength; Scale (ratio); Telecommunications; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.001262909,0.0002036469,0.0003227305,0.0003112482,0.000106126,0.0001310669,0.0008839727,0.0002426631,0.00003374561],"category_scores_gemma":[0.00005312842,0.0002132494,0.00006275722,0.001642801,0.0001911555,0.0006826803,0.0001953526,0.0003030533,0.000004033277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288894,"about_ca_system_score_gemma":0.00008427294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305336,"about_ca_topic_score_gemma":0.01648135,"domain_scores_codex":[0.9976974,0.0005101209,0.000526912,0.0004768866,0.0003757329,0.0004130062],"domain_scores_gemma":[0.9982567,0.0003852451,0.0002514335,0.0005951261,0.0004341298,0.00007732346],"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":[0.000464857,0.001453202,0.287062,0.0001560765,0.000153009,0.00007092063,0.001285855,0.07289737,0.07243958,0.005953222,0.0003936692,0.5576702],"study_design_scores_gemma":[0.0002224655,0.0001339581,0.02380862,0.00008366835,0.00000361775,0.000002729188,0.000008762188,0.863925,0.1114595,0.0001368978,0.000006568426,0.0002082367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4263532,0.00001706321,0.5729657,0.00001023649,0.0002254712,0.0001400633,0.00000120033,0.0001540618,0.0001329976],"genre_scores_gemma":[0.9751426,0.00001049392,0.02458263,0.00009678305,0.0001343391,0.000006004472,0.000005183453,0.00001791249,0.000004072576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7910276,"threshold_uncertainty_score":0.919698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391183010144113,"score_gpt":0.2955897275267477,"score_spread":0.2616778974253066,"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."}}