{"id":"W2988318859","doi":"10.3390/electronics8111338","title":"Intelligent On-Off Web Defacement Attacks and Random Monitoring-Based Detection Algorithms","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Steel Construction","keywords":"Computer science; Countermeasure; Computer security; Vulnerability (computing); Intrusion detection system; Algorithm; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003415792,0.0001573848,0.0001515599,0.0001112565,0.0001544738,0.0001301548,0.0002506211,0.00009231747,0.00003286807],"category_scores_gemma":[0.00001387249,0.0001494584,0.00006117934,0.0002797172,0.00001691521,0.0001784488,0.00007290769,0.0003315379,0.000132834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004168,"about_ca_system_score_gemma":0.00008081329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004251497,"about_ca_topic_score_gemma":0.00002237157,"domain_scores_codex":[0.9986767,0.00007656163,0.0001899605,0.0003963448,0.0002932525,0.0003671739],"domain_scores_gemma":[0.9993284,0.00009577029,0.00007759504,0.0003652829,0.00005326683,0.00007964537],"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":[0.0001862949,0.0001145676,0.0002845929,0.0000178331,0.00003427605,0.000002594792,0.0001671357,0.008492477,0.008158549,0.001432431,0.0001208581,0.9809884],"study_design_scores_gemma":[0.001282847,0.001316727,0.0001382435,0.00003212847,0.000007435547,0.0000083141,0.00000898096,0.6827828,0.2191775,0.0005458823,0.09447256,0.0002265669],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6436049,0.005062127,0.3475128,0.0003726569,0.002121453,0.0005426649,7.538197e-7,0.0002651893,0.0005174233],"genre_scores_gemma":[0.996823,0.001453463,0.00118496,0.0001696162,0.0001641994,0.00002547549,0.000001151113,0.00001198874,0.0001661787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9807618,"threshold_uncertainty_score":0.6094738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009942275835308757,"score_gpt":0.2396877752256576,"score_spread":0.2297454993903489,"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."}}