{"id":"W4283070194","doi":"10.35940/ijitee.h9119.0711822","title":"Machine Learning Based Password Strength Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Password; Computer science; Password strength; Cognitive password; Password cracking; Computer security; Random forest; S/KEY; One-time password; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135583,0.0006251066,0.0007534261,0.002148908,0.0003315102,0.001094182,0.0006736475,0.000603838,0.004694483],"category_scores_gemma":[0.007140402,0.0001681527,0.0006263091,0.001145537,0.0002492584,0.001231321,0.0005744132,0.0007200238,0.003237712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160534,"about_ca_system_score_gemma":0.0004812963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562331,"about_ca_topic_score_gemma":0.001154238,"domain_scores_codex":[0.9983128,0.0003138173,0.0001630238,0.0002544845,0.0007516406,0.0002041411],"domain_scores_gemma":[0.9963393,0.001183786,0.0004483105,0.0003891679,0.001517374,0.0001220135],"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":[0.0007959487,0.0006045328,0.05881964,0.000431008,0.0002473761,0.0004491971,0.0001669875,0.08315335,0.01889316,0.005029395,0.01254643,0.818863],"study_design_scores_gemma":[0.00002471031,0.0003791817,0.02195508,0.00005372148,0.00006349708,0.0007394241,0.0000840203,0.9501493,0.01698445,0.003108937,0.006402586,0.00005499366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3218463,0.001428059,0.6452942,0.0006685013,0.000422645,0.000591327,0.002612515,0.008640969,0.01849541],"genre_scores_gemma":[0.9362869,0.0002939288,0.05673533,0.0001003828,0.00005306953,0.00009468907,0.001330845,0.00005316511,0.005051613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004694483,"threshold_uncertainty_score":0.01570463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860118819944722,"score_gpt":0.2332170742729812,"score_spread":0.2146158860735339,"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."}}