{"id":"W1604735721","doi":"10.1002/sec.625","title":"ALPP: anonymous and location privacy preserving scheme for mobile IPv6 heterogeneous networks","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Computer science; Anonymity; Computer network; Node (physics); Network packet; Mobile IP; 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":[0.0016396,0.0003433285,0.0005580438,0.0009434471,0.001176075,0.001185231,0.001435514,0.0008134096,0.001168472],"category_scores_gemma":[0.00259386,0.0002025158,0.0005167713,0.0009083399,0.001016986,0.002693783,0.003412959,0.0009411384,0.0003568704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091188,"about_ca_system_score_gemma":0.0006381566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002880358,"about_ca_topic_score_gemma":0.0001630181,"domain_scores_codex":[0.9979798,0.0007781463,0.0001495031,0.0001960069,0.0006638857,0.0002326261],"domain_scores_gemma":[0.9978341,0.0004191749,0.0003724253,0.0009456853,0.0003028377,0.0001257712],"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":[0.002003397,0.0003920719,0.003880464,0.0003884139,0.0001997504,0.00162347,0.001617762,0.1499957,0.1130231,0.3959439,0.007931903,0.3230001],"study_design_scores_gemma":[0.0002086912,0.0005779471,0.00161922,0.0000420672,0.0001150291,0.001513386,0.000228113,0.7765198,0.06739469,0.123612,0.02799941,0.0001696013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.118092,0.0002869435,0.8750249,0.0003678636,0.00007471175,0.0002144259,0.0001911762,0.001066988,0.004681082],"genre_scores_gemma":[0.9275193,0.0001187558,0.06909408,0.00009816998,0.00005447276,0.0001252506,0.0001744151,0.0000345001,0.002781081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0016396,"threshold_uncertainty_score":0.008671165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356795332005691,"score_gpt":0.2498205214896438,"score_spread":0.2362525681695869,"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."}}