{"id":"W2049760404","doi":"10.1109/lcn.2008.4664308","title":"Event-B based invariant checking of secrecy in group key protocols","year":2008,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Correctness; Computer science; Group key; Secrecy; Key (lock); Group (periodic table); Theoretical computer science; Communication in small groups; Protocol (science); Invariant (physics); Event (particle physics); Distributed computing; Computer security; Algorithm; Mathematics; Encryption","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":[0.0003810434,0.0001349331,0.0002398619,0.0001520836,0.00005121862,0.00003148823,0.0008441394,0.00009636262,0.00005461377],"category_scores_gemma":[0.0000498945,0.000126296,0.00006596781,0.0006660075,0.00005556927,0.0003107238,0.0001697189,0.0001903236,0.00001525109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005027313,"about_ca_system_score_gemma":0.00009766561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136292,"about_ca_topic_score_gemma":0.0001231351,"domain_scores_codex":[0.9984774,0.0001255363,0.0004093724,0.000333093,0.0003446525,0.0003099217],"domain_scores_gemma":[0.9989877,0.00014274,0.0001253058,0.0006142837,0.00005858599,0.00007138865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001785154,0.003295276,0.1252075,0.0004464857,0.00006792358,0.00114505,0.01346857,0.05709236,0.02396627,0.7503518,0.002544084,0.02223612],"study_design_scores_gemma":[0.00140422,0.0001593906,0.01849588,0.0002331455,0.000001377394,0.00003753843,0.00002780863,0.9592515,0.01773079,0.001691925,0.0006620349,0.0003043434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1230042,0.00002443315,0.8645713,0.0004080357,0.0001387953,0.007383949,8.975431e-7,0.0002017875,0.004266655],"genre_scores_gemma":[0.9546881,0.00000242611,0.04386,0.0003381617,0.00004005924,0.001025672,0.000001557767,0.000009374463,0.0000346907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9021592,"threshold_uncertainty_score":0.5150202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565023219667803,"score_gpt":0.2697265305221345,"score_spread":0.2340762983254565,"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."}}