{"id":"W1925165765","doi":"10.1002/sec.375","title":"Energy efficiency of encryption schemes applied to wireless sensor networks","year":2011,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Block cipher mode of operation; Stream cipher; Cipher; Block cipher; Cryptography; Encryption; Efficient energy use; CBC-MAC; Triple DES; Computer network; Computer engineering; Distributed computing; Algorithm; Computer security; Engineering","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":[0.001536718,0.0004101588,0.000422875,0.0006216431,0.0002495873,0.0006073247,0.0004813165,0.0003974775,0.0009986627],"category_scores_gemma":[0.005395895,0.0001684013,0.0003364046,0.0006417619,0.0004568157,0.001323186,0.0005624461,0.0002431292,0.0001687575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008169148,"about_ca_system_score_gemma":0.0004293523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004517953,"about_ca_topic_score_gemma":0.0003551128,"domain_scores_codex":[0.9988808,0.0004699017,0.0000627396,0.00006086465,0.0004320626,0.0000936568],"domain_scores_gemma":[0.9973376,0.001747289,0.0002362356,0.0003844783,0.0002714433,0.0000229018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000496853,0.00008989398,0.003150554,0.0001421835,0.00006345294,0.0000904571,0.00004801973,0.892294,0.02758563,0.02760204,0.0003270849,0.04810981],"study_design_scores_gemma":[0.0000160447,0.0001368163,0.0006267705,0.00001069638,0.0000139921,0.00006192579,0.00001882692,0.9729781,0.02102412,0.004644348,0.0004611527,0.000007231023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7301465,0.001791413,0.2616611,0.0003197581,0.00008997361,0.00009101197,0.00008299688,0.000242737,0.00557446],"genre_scores_gemma":[0.988664,0.0002846601,0.01045668,0.00001147018,0.000004292753,0.00001855976,0.0000291809,0.00001471082,0.0005165723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536718,"threshold_uncertainty_score":0.008127034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469796472156287,"score_gpt":0.2135644538569846,"score_spread":0.1988664891354217,"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."}}