{"id":"W4293093536","doi":"10.1109/pst55820.2022.9851966","title":"Towards the Development of a Realistic Multidimensional IoT Profiling Dataset","year":2022,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Profiling (computer programming); Internet of Things; Transferability; Denial-of-service attack; Cloud computing; Computer security; Identification (biology); Mobile device; Intrusion detection system; Embedded system; Computer network; The Internet; Machine learning; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004562695,0.001174134,0.0009965465,0.002462804,0.001016864,0.002288855,0.003728235,0.002323564,0.001037321],"category_scores_gemma":[0.01558164,0.0005885347,0.001608176,0.002639508,0.0007354621,0.003409317,0.002780456,0.003105235,0.001324785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979522,"about_ca_system_score_gemma":0.001419041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006968754,"about_ca_topic_score_gemma":0.01031921,"domain_scores_codex":[0.9959596,0.001184531,0.0004847747,0.0009948508,0.001062413,0.000313894],"domain_scores_gemma":[0.9921566,0.002046784,0.0007202293,0.002493554,0.002249071,0.000333778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009179674,0.004710491,0.1050583,0.001772911,0.0007008641,0.001280753,0.0008257221,0.2726579,0.02358618,0.0151777,0.2259483,0.3473628],"study_design_scores_gemma":[0.0001197952,0.0004895384,0.04610014,0.0003619016,0.0001042219,0.0008431872,0.0007385123,0.8469602,0.01418754,0.009351928,0.08057622,0.0001667681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3338543,0.0021487,0.4521788,0.006118246,0.001464023,0.002916388,0.1731684,0.01796468,0.01018649],"genre_scores_gemma":[0.3021114,0.0006032044,0.3660046,0.0009678577,0.0001665012,0.001851904,0.3263063,0.0003369452,0.001651378],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006968754,"threshold_uncertainty_score":0.02413011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902308788887636,"score_gpt":0.265668463782057,"score_spread":0.2266453758931806,"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."}}