{"id":"W2005734726","doi":"10.1109/mwc.2007.4396941","title":"Self-healing group-wise key distribution schemes with time-limited node revocation for wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rekeying; Computer science; Computer network; Hash function; Group key; Overhead (engineering); Distributed computing; Node (physics); Hash chain; Key distribution; Wireless sensor network; Communication in small groups; Public-key cryptography; Key management; Computer security; Encryption","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","sts"],"consensus_categories":[],"category_scores_codex":[0.001418857,0.0004906079,0.0005317171,0.0002100199,0.001303672,0.0003600091,0.003332791,0.0004034812,0.000002946189],"category_scores_gemma":[0.00006196354,0.0005088466,0.0001828637,0.001614929,0.0003198551,0.0008175115,0.0004260378,0.0007674215,0.00003790962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265597,"about_ca_system_score_gemma":0.0001201258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006461809,"about_ca_topic_score_gemma":0.0001902224,"domain_scores_codex":[0.9963748,0.0003339133,0.0009327488,0.0008072224,0.0005296522,0.001021675],"domain_scores_gemma":[0.9918919,0.001914157,0.0006222171,0.004400234,0.000860459,0.0003110207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044194,0.007092963,0.008486836,0.0009057067,0.00166095,0.00005886444,0.01162567,0.08103807,0.01745165,0.6332286,0.01058371,0.2268228],"study_design_scores_gemma":[0.001086119,0.000114091,0.0007819255,0.0002377306,0.00008176218,0.00004450502,0.0001358599,0.9820408,0.001812196,0.0002089819,0.01277011,0.0006859698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07480565,0.0005935278,0.9191816,0.002194339,0.0003612353,0.001280465,0.0000488294,0.001251153,0.0002832031],"genre_scores_gemma":[0.8002876,0.0005141658,0.1973902,0.0003391679,0.000281041,0.0002262617,0.0008350696,0.00007371548,0.00005270488],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9010027,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980406498667046,"score_gpt":0.2638158065930384,"score_spread":0.2440117416063679,"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."}}