{"id":"W4405719083","doi":"10.18535/ijsrm/v08i4.ec03","title":"Dynamic Adaptive API Security Framework Using AI-Powered Blockchain Consensus for Microservices","year":2020,"lang":"en","type":"article","venue":"International Journal of Scientific Research and Management (IJSRM)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Microservices; Computer science; Computer security; Blockchain; Denial-of-service attack; Byzantine fault tolerance; Application programming interface; Distributed computing; Cloud computing; World Wide Web; Fault tolerance; The Internet; Operating system","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":[0.001068428,0.0003930514,0.0006493673,0.0005959771,0.001015286,0.001762431,0.001599093,0.001035478,0.004415994],"category_scores_gemma":[0.001871775,0.0002477159,0.0007333502,0.0005651676,0.001213709,0.001464625,0.002090566,0.0008675386,0.000471301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317811,"about_ca_system_score_gemma":0.002380188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005795555,"about_ca_topic_score_gemma":0.004376029,"domain_scores_codex":[0.9990755,0.0002054304,0.00005289558,0.0002311697,0.0002797176,0.0001551564],"domain_scores_gemma":[0.9992203,0.0002396913,0.0001066369,0.0001401559,0.0001785839,0.0001147702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001501279,0.0001019835,0.001693071,0.0001372941,0.00006285327,0.0007876844,0.0003411268,0.6999324,0.008106621,0.2461597,0.001578446,0.0409486],"study_design_scores_gemma":[0.00001671907,0.00003563169,0.0001030931,0.00001009753,0.00001026555,0.00004936968,0.00002891944,0.9659979,0.0008571723,0.03062316,0.002256444,0.00001124924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04192571,0.0003566412,0.9439928,0.0005307508,0.00006291531,0.0001797667,0.00009653084,0.0006313617,0.0122235],"genre_scores_gemma":[0.9074803,0.0002824541,0.08579987,0.00007832531,0.00003566768,0.0002797139,0.0001267998,0.00005161049,0.005865153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005795555,"threshold_uncertainty_score":0.01477295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06414762479323936,"score_gpt":0.3766717722594999,"score_spread":0.3125241474662606,"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."}}