{"id":"W2539737196","doi":"10.1109/icitis.2010.5689553","title":"Against mobile attacks in Mobile Ad-hoc Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Key escrow; Computer security; Cryptography; Computer network; Mobile ad hoc network; ID-based cryptography; Cryptosystem; Scheme (mathematics); Wireless ad hoc network; Overhead (engineering); Public-key cryptography; Key distribution; Encryption; Telecommunications; Wireless; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000310112,0.000134022,0.0001445638,0.0001214832,0.00007613534,0.0001548117,0.0009827733,0.000126557,0.0001512392],"category_scores_gemma":[0.000009295512,0.0001186329,0.00007763043,0.0006587373,0.0000634582,0.0005790719,0.0003686659,0.0004393727,0.00007121896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008154749,"about_ca_system_score_gemma":0.00002860309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137992,"about_ca_topic_score_gemma":0.0008434966,"domain_scores_codex":[0.9988247,0.00003049395,0.0002132217,0.0004203993,0.0001572801,0.0003538746],"domain_scores_gemma":[0.9988073,0.00008407284,0.0000409703,0.0009078126,0.00003384908,0.0001259657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001508615,0.000559234,0.008216437,0.00001339598,0.00001331295,0.00005615875,0.001129665,0.001306177,0.001500621,0.076258,0.01362016,0.8973117],"study_design_scores_gemma":[0.0008250907,0.0002171292,0.007641177,0.00001687688,0.000002864307,0.00001228176,0.00013558,0.1198936,0.0007454744,0.004249143,0.8656591,0.0006016287],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368493,0.002300659,0.2457587,0.00009677331,0.00155403,0.0005701188,0.00001053227,0.0004781051,0.01238178],"genre_scores_gemma":[0.9660395,0.000616584,0.03237032,0.0006750057,0.00009869906,0.0001331731,0.00001964414,0.000008992062,0.00003810976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8967101,"threshold_uncertainty_score":0.4837711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006219797907849605,"score_gpt":0.2420763300089412,"score_spread":0.2358565321010916,"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."}}