{"id":"W2121783566","doi":"10.14419/ijsw.v3i2.5111","title":"NARSKCA: Novel and robust symmetric key cryptography algorithm","year":2015,"lang":"en","type":"article","venue":"International Journal of Scientific World","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Security Establishment","funders":"","keywords":"Symmetric-key algorithm; Encryption; Bitwise operation; Computer science; Fibonacci number; Cryptography; Key encapsulation; Key (lock); Algorithm; Key generation; Key size; Theoretical computer science; Public-key cryptography; Mathematics; Discrete mathematics; Computer security","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":[0.0008189736,0.0006871079,0.0008796784,0.001514703,0.000823567,0.001538253,0.001717002,0.001161193,0.004400443],"category_scores_gemma":[0.002057223,0.0002689068,0.0007356124,0.00109537,0.00075987,0.00255213,0.001288038,0.001300256,0.002697325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008576486,"about_ca_system_score_gemma":0.002417699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089774,"about_ca_topic_score_gemma":0.001014166,"domain_scores_codex":[0.9982744,0.0002825967,0.0001379584,0.0002905506,0.0008240493,0.000190345],"domain_scores_gemma":[0.9990127,0.0001468547,0.0001369915,0.0002159811,0.0004267938,0.00006060525],"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":[0.001459113,0.0002286014,0.001492683,0.0007170558,0.0001965214,0.0006862404,0.0001967248,0.05948217,0.09404226,0.1371384,0.03773737,0.6666229],"study_design_scores_gemma":[0.0003430819,0.0005681087,0.0009992303,0.0001549296,0.0001146118,0.002847381,0.0001085634,0.6660275,0.1020246,0.05048475,0.1760841,0.0002430762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02896763,0.005037168,0.9328752,0.00119168,0.001059381,0.000563739,0.0005757124,0.005509987,0.02421952],"genre_scores_gemma":[0.4470045,0.002380043,0.5219936,0.0007771107,0.0005249876,0.0004816795,0.001430137,0.0003265332,0.02508138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004400443,"threshold_uncertainty_score":0.01472092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765359945053511,"score_gpt":0.2616628787861206,"score_spread":0.2240092793355855,"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."}}