{"id":"W4382072768","doi":"10.59934/jaiea.v2i2.154","title":"DEVELOPMENT OF HYBRID ENCRYPTION METHOD USING AFFINE CIPHER, VIGENERE CIPHER, AND ELGAMAL ALGORITHM TO SECURE TEXT MESSAGES IN DATA COMMUNICATION SYSTEM","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"ElGamal encryption; Computer science; Ciphertext; Plaintext; Transposition cipher; Cipher; Encryption; Theoretical computer science; Stream cipher; Algorithm; Running key cipher; Computer security; Public-key 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184055,0.0001348514,0.0002776416,0.0004338779,0.0001097621,0.00009818077,0.0007547519,0.00005272935,0.000001802265],"category_scores_gemma":[0.00008104561,0.0001359222,0.00002482584,0.000888413,0.00002242526,0.0003458819,0.0003395507,0.0002071584,0.000006649891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008668857,"about_ca_system_score_gemma":0.00008648238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004600083,"about_ca_topic_score_gemma":0.00002050983,"domain_scores_codex":[0.9983984,0.00007457704,0.0008190702,0.0002579606,0.0002631946,0.0001868615],"domain_scores_gemma":[0.9987159,0.0001886723,0.0003011419,0.0005261793,0.0001614628,0.0001065784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007677771,0.000058576,0.00006442259,0.0001869684,0.00004843826,0.000006664632,0.004176239,0.2284008,0.05280686,0.00343736,0.00004733946,0.7107586],"study_design_scores_gemma":[0.00003865974,0.00001958242,0.0002940531,0.0002781542,0.00001184442,0.00006531146,0.001140813,0.9824626,0.01337593,0.00007450592,0.002102524,0.0001359521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07093429,0.0004012361,0.9280808,0.0001875576,0.0001047817,0.0002297232,0.000005889525,0.00004983069,0.000005881102],"genre_scores_gemma":[0.3137928,0.00008087039,0.6859962,0.000004080652,0.00007679441,0.00002167626,0.000007969123,0.00001210728,0.000007559798],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7540618,"threshold_uncertainty_score":0.5542747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07294679453116017,"score_gpt":0.3362158987157876,"score_spread":0.2632691041846275,"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."}}