{"id":"W4255292527","doi":"10.4018/9781599041681.ch002","title":"Wireless Web Security Using a Neural Network-Based Cipher","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cipher; Computer network; Computer security; Encryption","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":[0.0002117159,0.0005187055,0.000301952,0.0004487502,0.0002659753,0.001022948,0.0004718081,0.0006071852,0.006202535],"category_scores_gemma":[0.0004622573,0.0002050276,0.0004262152,0.0004622437,0.0006240056,0.001928696,0.0005387207,0.001003282,0.002354136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424648,"about_ca_system_score_gemma":0.0005667979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488341,"about_ca_topic_score_gemma":0.0004871596,"domain_scores_codex":[0.9998203,0.00002948065,0.00001471689,0.00002660186,0.00009375169,0.00001520666],"domain_scores_gemma":[0.9998963,0.00003665878,0.00001504326,0.00002081939,0.00002666065,0.00000451123],"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":[0.000174356,0.000120108,0.0003336001,0.0006431353,0.00006996941,0.0004761938,0.0001886423,0.04493565,0.08641199,0.4367822,0.01916352,0.4107005],"study_design_scores_gemma":[0.0000733847,0.0003019904,0.0007475381,0.0002791059,0.00007562629,0.001762291,0.00007117881,0.6216562,0.08087227,0.1072671,0.186827,0.00006622425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03340344,0.01098136,0.833205,0.001551285,0.0006436264,0.0003080066,0.0002340141,0.001487607,0.1181857],"genre_scores_gemma":[0.402478,0.02214075,0.368035,0.0006242532,0.0004082895,0.0004092859,0.0005433417,0.0002737218,0.2050874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006202535,"threshold_uncertainty_score":0.02074957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256330214391538,"score_gpt":0.2331491968311303,"score_spread":0.2075161753919765,"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."}}