{"id":"W2084192698","doi":"10.1109/icc.2012.6363763","title":"Secure and efficient source location privacy-preserving scheme for wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Network packet; Wireless sensor network; Cloud computing; Node (physics); Cryptography; Scheme (mathematics); Sink (geography); Adversary; Computer security","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":[0.001353036,0.0006944183,0.000942871,0.0007863418,0.001256468,0.001073679,0.001534795,0.0009747173,0.0009082941],"category_scores_gemma":[0.002265598,0.0003437416,0.0008009173,0.001242106,0.00106652,0.003723465,0.003222198,0.001338353,0.0003874726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007821487,"about_ca_system_score_gemma":0.001118309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000304013,"about_ca_topic_score_gemma":0.0003339887,"domain_scores_codex":[0.9979668,0.0005086439,0.0001380904,0.0002784432,0.0008721761,0.0002357966],"domain_scores_gemma":[0.9980013,0.0004478492,0.0003385738,0.0009254192,0.0002129631,0.00007387754],"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":[0.00135307,0.0003323001,0.002613637,0.0006796808,0.0003661377,0.001075216,0.001350187,0.2343946,0.160023,0.2822112,0.006623328,0.3089777],"study_design_scores_gemma":[0.0002149415,0.000446819,0.0006387867,0.00005412781,0.0001645598,0.001299586,0.0002009986,0.8275883,0.07382172,0.07941474,0.01605299,0.0001024851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03265967,0.0006582352,0.9635732,0.0004552556,0.00009259929,0.000113637,0.00008603935,0.0005335401,0.001827872],"genre_scores_gemma":[0.8837306,0.0006201594,0.1123958,0.000141694,0.00008471499,0.0001466376,0.00017599,0.00003630346,0.002668041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001534795,"threshold_uncertainty_score":0.007155657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455244012474259,"score_gpt":0.2409469567605049,"score_spread":0.2263945166357623,"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."}}