{"id":"W2096349352","doi":"10.1109/ccece.2008.4564657","title":"Design and analysis of the security assessment framework for achieving discrete security values in wireless sensor networks","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mehran University of Engineering and Technology","keywords":"Computer science; Wireless sensor network; Scalability; Communications security; Computer security model; Cryptography; Network Access Control; Independence (probability theory); Security service; Network security; Concrete security; Computer network; Distributed computing; Computer security; Cloud computing security; Information security; Encryption; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005877298,0.000854778,0.0007847261,0.001576338,0.001036534,0.002790929,0.002047206,0.0010752,0.001972655],"category_scores_gemma":[0.007738529,0.0006012978,0.001358433,0.0008864665,0.002001209,0.003098406,0.001853703,0.002207813,0.0004350618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165219,"about_ca_system_score_gemma":0.00368486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003753651,"about_ca_topic_score_gemma":0.002972498,"domain_scores_codex":[0.996067,0.001158337,0.0003164866,0.0004348397,0.001802371,0.0002210948],"domain_scores_gemma":[0.9978782,0.0008941095,0.0002152717,0.0002471386,0.0006487844,0.0001164997],"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":[0.00005175125,0.00007557488,0.0009015129,0.0002481891,0.00006403792,0.0002211975,0.0003514198,0.212296,0.006218165,0.6574733,0.002030229,0.1200687],"study_design_scores_gemma":[0.00001931681,0.00009208586,0.0002418871,0.0001007152,0.00003935735,0.0001658692,0.00007779562,0.868542,0.004531847,0.1141602,0.01197944,0.00004951016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008659142,0.00006075325,0.9978744,0.00009084232,0.00001200117,0.00009794231,0.000009678624,0.0001386634,0.0008499481],"genre_scores_gemma":[0.09945826,0.0002767873,0.8983314,0.0000828488,0.00005022543,0.0004650356,0.00007180833,0.00008094605,0.001182597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005877298,"threshold_uncertainty_score":0.03108251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753464960985368,"score_gpt":0.2313636212328515,"score_spread":0.2138289716229978,"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."}}