{"id":"W4360778198","doi":"10.5267/j.ijdns.2023.2.001","title":"A novel security analysis for a new NTRU variant with additional private key","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NTRU; Computer security; Computer science; Key (lock); Public-key cryptography; Encryption","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002912914,0.0007491315,0.0009438485,0.001042516,0.001378805,0.002236094,0.001999172,0.001485972,0.004794873],"category_scores_gemma":[0.008579602,0.0003524075,0.001342938,0.0007674617,0.004012739,0.007094034,0.002439992,0.003703373,0.001020157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777942,"about_ca_system_score_gemma":0.00133554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006219732,"about_ca_topic_score_gemma":0.0003607969,"domain_scores_codex":[0.9948833,0.001535248,0.0002866817,0.0008872109,0.001764697,0.0006429286],"domain_scores_gemma":[0.9940143,0.002562477,0.000570856,0.001681659,0.0009209809,0.0002497231],"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":[0.0002089106,0.0000499943,0.0002821298,0.0001212341,0.00003267157,0.0003170271,0.0002511282,0.01638234,0.01317881,0.9507813,0.001619485,0.01677501],"study_design_scores_gemma":[0.00009371716,0.0005603671,0.0004686966,0.00008700595,0.00008700986,0.001913346,0.0001830632,0.4679872,0.01837358,0.4831822,0.02693623,0.000127555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02893218,0.0004446733,0.9514567,0.0007082158,0.0002354011,0.0001849945,0.00007034345,0.0002411821,0.01772634],"genre_scores_gemma":[0.7640755,0.0005319708,0.2257782,0.0004372619,0.0003655832,0.0002420465,0.000138294,0.0001536485,0.008277488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004794873,"threshold_uncertainty_score":0.01604044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446443203319814,"score_gpt":0.3313834671454451,"score_spread":0.2869190351122469,"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."}}