{"id":"W4200341402","doi":"10.1007/978-3-030-74753-4_18","title":"Scalable Fair Clustering Algorithm for Internet of Things Malware Classification","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Opcode; Cluster analysis; Computer science; Malware; Scalability; Population; Class (philosophy); Data mining; Cluster (spacecraft); Malware analysis; Algorithm; Artificial intelligence; Machine learning; Computer security; Database","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":[0.0001764329,0.0002796757,0.000392502,0.0002240625,0.0000477125,0.00009096647,0.0008053013,0.0003183949,0.0001255713],"category_scores_gemma":[0.00002632958,0.0002901218,0.0002012912,0.00006563274,0.00005220733,0.0005965513,0.000556446,0.0002448053,0.00001316374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445511,"about_ca_system_score_gemma":0.00007324096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729935,"about_ca_topic_score_gemma":0.000007425194,"domain_scores_codex":[0.9983562,0.00001029701,0.0004949962,0.0006719348,0.0002682656,0.0001983521],"domain_scores_gemma":[0.9982165,0.00009831269,0.000414525,0.0007325782,0.0004779119,0.0000602412],"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":[0.000002955419,0.00001018684,2.501616e-7,0.0001135004,0.00003044649,0.000003790072,0.00007378799,0.000003438842,0.0003612311,0.3229785,0.001721579,0.6747004],"study_design_scores_gemma":[0.0003045553,0.0003103032,0.000003697265,0.0006986639,0.00003118305,0.00006144097,0.00003357159,0.5770312,0.06091765,0.0774081,0.2823992,0.0008004384],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.504616e-7,0.0001112523,0.8754837,0.0001089911,0.0003237462,0.000410074,0.00001040401,0.000627893,0.1229238],"genre_scores_gemma":[0.0001458092,0.00004535285,0.6278873,0.0001439474,0.00004452517,0.0000516624,0.00002563778,0.00003466735,0.3716211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6738999,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850708538861791,"score_gpt":0.2607944098113537,"score_spread":0.2322873244227358,"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."}}