{"id":"W2404682669","doi":"10.1109/aina.2016.144","title":"Hardware Covert Attacks and Countermeasures","year":2016,"lang":"en","type":"article","venue":"","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Countermeasure; Computer security; Computer science; Covert; Covert channel; Hardware security module; Schema (genetic algorithms); Embedded system; Security information and event management; Cryptography; Operating system; Cloud computing security; Engineering; Cloud computing","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":[0.0008050926,0.00126461,0.0006661554,0.002051024,0.0006805417,0.00183073,0.001073151,0.001659714,0.002628988],"category_scores_gemma":[0.003655884,0.0003520038,0.0008511393,0.0007809767,0.001923185,0.003129073,0.001500656,0.001327627,0.0005674711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860193,"about_ca_system_score_gemma":0.0005073908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002321798,"about_ca_topic_score_gemma":0.0001574079,"domain_scores_codex":[0.9980903,0.0003003604,0.0001026757,0.0002846466,0.001016555,0.0002054407],"domain_scores_gemma":[0.9971955,0.0009672142,0.0006258624,0.0008140558,0.0003380366,0.00005928528],"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":[0.0002513444,0.0002169444,0.003407422,0.001134965,0.0002501218,0.000696947,0.0004595378,0.07475764,0.07436781,0.5116703,0.004020968,0.328766],"study_design_scores_gemma":[0.00009267717,0.001962765,0.00634667,0.001220291,0.0004070507,0.006514015,0.0006106878,0.3792735,0.2438241,0.2547113,0.1048223,0.0002146623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016806,0.009144538,0.8356243,0.001981219,0.0005314917,0.000480209,0.0001642324,0.001626621,0.04876693],"genre_scores_gemma":[0.8851693,0.006645886,0.09753107,0.0005088194,0.0003171549,0.0002770847,0.0001275249,0.00009193214,0.009331221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002628988,"threshold_uncertainty_score":0.008794844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00993013786750514,"score_gpt":0.2119451827157017,"score_spread":0.2020150448481966,"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."}}