{"id":"W2072056539","doi":"10.1007/s10207-008-0063-0","title":"Interactive two-channel message authentication based on Interactive-Collision Resistant hash functions","year":2008,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Hash function; Computer network; Message authentication code; Authentication (law); Channel (broadcasting); Cryptographic hash function; Hash chain; Computer security; Key (lock); Protocol (science); Context (archaeology); SHA-2; Cryptography","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":[0.001838493,0.001009688,0.00156776,0.00111057,0.001892639,0.001942696,0.0020354,0.001515405,0.007868811],"category_scores_gemma":[0.003807443,0.0005135615,0.0008332481,0.001013428,0.001735703,0.003443874,0.004365287,0.00176854,0.002276013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000965011,"about_ca_system_score_gemma":0.001697687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009039892,"about_ca_topic_score_gemma":0.0008205695,"domain_scores_codex":[0.9968797,0.00058858,0.0001446313,0.0003703085,0.001235382,0.0007813706],"domain_scores_gemma":[0.9955721,0.001720692,0.0002521242,0.001370234,0.0007750827,0.000309727],"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":[0.01298249,0.0009079212,0.003631988,0.0006920425,0.0003610195,0.001636147,0.001664949,0.06994676,0.2596486,0.3926509,0.009634347,0.2462429],"study_design_scores_gemma":[0.0006247582,0.001074058,0.001441644,0.0000555654,0.0002360821,0.001072433,0.0001440169,0.7516523,0.1629472,0.06895324,0.01149542,0.0003032289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05212607,0.0003087973,0.9351282,0.0002051982,0.0001760184,0.0003004929,0.0001315295,0.004063146,0.007560587],"genre_scores_gemma":[0.8924594,0.0001592638,0.09916782,0.00009494147,0.0001361689,0.0002525693,0.0001908822,0.0001215447,0.007417349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007868811,"threshold_uncertainty_score":0.02632374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407461739347074,"score_gpt":0.2708106332347779,"score_spread":0.2567360158413071,"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."}}