{"id":"W2183681512","doi":"","title":"Exposure maps: removing reliance on attribution during scan detection","year":2006,"lang":"en","type":"article","venue":"USENIX conference on Hot topics in security","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Footprint; Artificial intelligence; 3d scanning; Botnet; Event (particle physics); Real-time computing; Computer vision; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003812421,0.0002541301,0.0002431037,0.0002671447,0.0003127232,0.0002367414,0.0005194038,0.0002575335,0.00003008349],"category_scores_gemma":[0.00006276729,0.0002714539,0.00008279014,0.0006779952,0.00005743814,0.0005038109,0.0001396563,0.0007031366,0.00005585975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254574,"about_ca_system_score_gemma":0.00005466055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004289902,"about_ca_topic_score_gemma":0.001856124,"domain_scores_codex":[0.9977481,0.0001965088,0.0004372169,0.0007087839,0.0004547952,0.0004546259],"domain_scores_gemma":[0.9988508,0.00005925399,0.0001797228,0.000698212,0.0001342593,0.00007778732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004336755,0.0007882904,0.009262705,0.0001561888,0.00001730133,0.0001728984,0.002146127,0.002008372,0.01183199,0.8747911,0.0006429725,0.09774842],"study_design_scores_gemma":[0.003715342,0.001716667,0.273123,0.001276187,0.00001646082,0.0001382509,0.0001293371,0.1258036,0.239899,0.3262016,0.02589794,0.002082617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980921,0.00006756209,0.01215037,0.0008095903,0.001282135,0.0002821395,0.000005293323,0.0002846656,0.004197277],"genre_scores_gemma":[0.9984286,0.0001204955,0.0005377198,0.0001418935,0.0005061342,0.00002351287,0.000007293883,0.00001120917,0.0002231333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5485895,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199645628808747,"score_gpt":0.238151142931682,"score_spread":0.2181865800508073,"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."}}