{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550507,0.0004705538,0.0004686436,0.001045322,0.0004261343,0.001053369,0.00076488,0.0005083362,0.00358912],"category_scores_gemma":[0.000960464,0.0001975925,0.0005212784,0.0005641438,0.0004138799,0.001923248,0.0005672595,0.0005527499,0.001436331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005418458,"about_ca_system_score_gemma":0.0006483257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224707,"about_ca_topic_score_gemma":0.0005711238,"domain_scores_codex":[0.9991207,0.0001441805,0.00007445524,0.0001401652,0.0004390265,0.00008156186],"domain_scores_gemma":[0.9995767,0.00008230977,0.00004580132,0.0000696179,0.0002048273,0.00002075308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005524515,0.0002328458,0.003973622,0.001299755,0.0001819461,0.001069895,0.0007402773,0.03403026,0.1613483,0.113595,0.01666499,0.6663107],"study_design_scores_gemma":[0.0003081719,0.001041826,0.003574539,0.0003659977,0.000189552,0.006424651,0.0003993776,0.3421847,0.3701205,0.02636459,0.2487728,0.0002532505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04628598,0.006609723,0.9027953,0.000561693,0.0004344241,0.0004920675,0.0001799212,0.001514347,0.04112647],"genre_scores_gemma":[0.5527485,0.007217412,0.3972134,0.0003614668,0.0002182631,0.0003925579,0.000556085,0.000195253,0.04109706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00358912,"threshold_uncertainty_score":0.01200682,"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."}}