{"id":"W2113651500","doi":"10.4218/etrij.16.0115.0630","title":"Message Expansion of Homomorphic Encryption Using Product Pairing","year":2015,"lang":"en","type":"article","venue":"ETRI Journal","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Homomorphic encryption; Plaintext; Pairing; Encryption; Computer science; Cryptosystem; Theoretical computer science; Scheme (mathematics); Product (mathematics); Group (periodic table); Mathematics; Computer security; Physics","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":[0.001289355,0.000338777,0.0005307457,0.0005142569,0.0005799242,0.0007331165,0.0005840824,0.0005255174,0.002217266],"category_scores_gemma":[0.002353556,0.0003130865,0.0006588092,0.0005220039,0.001388008,0.003088426,0.002558065,0.001631709,0.0008707885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118351,"about_ca_system_score_gemma":0.0004905036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009536534,"about_ca_topic_score_gemma":0.0000886468,"domain_scores_codex":[0.9984749,0.0004437579,0.00007977923,0.0002073765,0.0006155341,0.0001786964],"domain_scores_gemma":[0.9981949,0.0007053896,0.0001280228,0.0007155958,0.0001733469,0.00008268682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007525465,0.0002584507,0.001508381,0.000231826,0.0000442575,0.0009732274,0.001049292,0.02689074,0.06653765,0.7580965,0.004009603,0.1396475],"study_design_scores_gemma":[0.0002081296,0.0008558257,0.001353212,0.00008275292,0.00006985988,0.002483158,0.0002165023,0.3405116,0.1592405,0.4606084,0.0342438,0.0001263088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1847086,0.000368466,0.7914684,0.0005300679,0.0001514989,0.0002265955,0.000077252,0.0007854179,0.02168374],"genre_scores_gemma":[0.7972156,0.0002571022,0.1952464,0.0001784831,0.000138308,0.0002053887,0.0001333818,0.00008685093,0.006538511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002217266,"threshold_uncertainty_score":0.0074175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07411779103717338,"score_gpt":0.2842211634866755,"score_spread":0.2101033724495022,"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."}}