{"id":"W36197628","doi":"10.1007/s00894-022-05323-4","title":"Analysis of a man-in-the-middle attack on the Diffie-Hellman key exchange protocol","year":2009,"lang":"en","type":"article","venue":"Journal of Molecular Modeling","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Key exchange; Diffie–Hellman key exchange; Computer security; Man-in-the-middle attack; Computer science; Key (lock); Protocol (science); Authenticated Key Exchange; Cryptographic protocol; Encryption; Cryptography; Key-agreement protocol; Oakley protocol; Dilemma; Public-key cryptography; Computer network; Key distribution; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004551512,0.0009431001,0.001348947,0.00131994,0.00150228,0.002442912,0.001703009,0.001725205,0.006187108],"category_scores_gemma":[0.01618781,0.0004421182,0.001252868,0.0009105969,0.002011615,0.006116505,0.003675076,0.00209217,0.0009264122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210695,"about_ca_system_score_gemma":0.003067109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060114,"about_ca_topic_score_gemma":0.0006297853,"domain_scores_codex":[0.9940952,0.001467996,0.0002728509,0.0006629901,0.00210561,0.001395379],"domain_scores_gemma":[0.9902304,0.006308282,0.0007095592,0.001227728,0.001158783,0.0003653491],"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":[0.002472005,0.0003028464,0.004597199,0.0003817234,0.0003018726,0.001520229,0.0005485743,0.2097641,0.01831814,0.6966195,0.009545957,0.05562784],"study_design_scores_gemma":[0.00006229245,0.0001578147,0.0005219893,0.00002699333,0.00005367585,0.0003423999,0.0001154197,0.8401231,0.005869197,0.1502065,0.002485714,0.000034936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3078057,0.001014331,0.6503147,0.002490804,0.000322677,0.0009085762,0.000927269,0.001388107,0.03482773],"genre_scores_gemma":[0.9697484,0.0003219302,0.02423419,0.0001951476,0.00007357873,0.0002518483,0.0003479668,0.00008050988,0.004746474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006187108,"threshold_uncertainty_score":0.02407098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626644019841607,"score_gpt":0.312114279956972,"score_spread":0.2358478397585559,"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."}}