{"id":"W2066448868","doi":"10.1109/glocom.2011.6134273","title":"An Efficient and Secure User Revocation Scheme in Mobile Social Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Revocation; Eavesdropping; Computer science; Computer security; Collusion; Computer network; Encryption; Scheme (mathematics); Overhead (engineering); Network packet; Secure communication","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":[0.000218226,0.00006268361,0.00006604792,0.00006017161,0.0000715425,0.00005356332,0.0002615853,0.00005891526,0.00003011076],"category_scores_gemma":[0.00000246069,0.0000567036,0.00001755252,0.0003083235,0.00003477997,0.0003159209,0.0001003618,0.00008791142,0.00000330878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006612252,"about_ca_system_score_gemma":0.00001015235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007747859,"about_ca_topic_score_gemma":0.0001212448,"domain_scores_codex":[0.9994,0.00003753401,0.0001023409,0.0002398959,0.00007836026,0.0001418445],"domain_scores_gemma":[0.9996567,0.00001043281,0.00002586556,0.0002353479,0.00002367429,0.00004792141],"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":[0.00001426478,0.0004013241,0.01686672,0.000009974663,0.000004866034,0.000004455176,0.01022638,0.0001193127,0.00009877352,0.9550279,0.0007394897,0.01648652],"study_design_scores_gemma":[0.0008279882,0.0002436326,0.3075876,0.00001799378,0.000005339085,0.000007656605,0.0006650731,0.6756117,0.0004475561,0.01018835,0.003907983,0.0004891157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5106764,0.0001238332,0.4879529,0.00002670418,0.00007629215,0.0001224903,0.000001385304,0.00007299745,0.000946908],"genre_scores_gemma":[0.964038,0.00001522855,0.03577181,0.0001158008,0.00003589314,0.00001334926,0.000005752307,0.000002357453,0.000001762918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9448395,"threshold_uncertainty_score":0.2312306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514762543624396,"score_gpt":0.2423513438049472,"score_spread":0.2272037183687032,"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."}}