{"id":"W4220770429","doi":"10.1145/3511903","title":"Securing Low-Power Blockchain-enabled IoT Devices against Energy Depletion Attack","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Blockchain; Denial-of-service attack; Computer network; Lossy compression; Computer security; Routing protocol; Internet of Things; Protocol (science); Wireless sensor network; Routing (electronic design automation); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007983335,0.0004844562,0.0006633805,0.0006079435,0.0008786246,0.0008384982,0.0009772377,0.0008384719,0.001804812],"category_scores_gemma":[0.002615674,0.0001692043,0.0001862639,0.0004524741,0.0005987741,0.002367094,0.001763804,0.0005595507,0.0007252634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375612,"about_ca_system_score_gemma":0.0007349934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005147142,"about_ca_topic_score_gemma":0.0006791147,"domain_scores_codex":[0.9990265,0.0001757059,0.00006365568,0.0001145546,0.0003993183,0.0002202009],"domain_scores_gemma":[0.9977055,0.0004817512,0.0003978318,0.0007538638,0.000470716,0.0001902623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002225527,0.0006143388,0.01848456,0.0007828344,0.0002009829,0.002484059,0.001180083,0.1774125,0.2765169,0.04775924,0.01296334,0.4593757],"study_design_scores_gemma":[0.0001359524,0.0009758381,0.002690301,0.00007404965,0.00007193056,0.001039323,0.0002513549,0.8378405,0.1245291,0.01551625,0.01680653,0.00006888733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929917,0.001512158,0.3804886,0.00101855,0.0003109191,0.0005601937,0.0002167353,0.00286699,0.02003419],"genre_scores_gemma":[0.9908888,0.000118423,0.007515227,0.00008325392,0.00001738027,0.00005286624,0.00006552022,0.00001022335,0.001248356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804812,"threshold_uncertainty_score":0.006037652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009461477512845535,"score_gpt":0.2275565345313967,"score_spread":0.2180950570185511,"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."}}