{"id":"W4237478802","doi":"10.22215/etd/2018-13249","title":"P2PSIP over MANETs: Approaches to a Secure Implementation","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Army Research Laboratory; Research, Development and Engineering Command","keywords":"Computer science; Public key infrastructure; Distributed hash table; Redundancy (engineering); Computer network; Hash function; Computer security; Mobile ad hoc network; Hash table; Flooding (psychology); Distributed computing; Public-key cryptography; Peer-to-peer; Encryption; Operating system","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":[0.00278793,0.0008640235,0.0006209677,0.001007209,0.00183583,0.004572104,0.001593617,0.002222881,0.003800432],"category_scores_gemma":[0.005870896,0.000787176,0.0005938312,0.001223361,0.003667967,0.01060478,0.004055027,0.004851002,0.001689158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345325,"about_ca_system_score_gemma":0.001581615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005730041,"about_ca_topic_score_gemma":0.000508117,"domain_scores_codex":[0.9974138,0.0007556253,0.0001486879,0.0002798989,0.001170043,0.0002319605],"domain_scores_gemma":[0.9971934,0.001113583,0.000178706,0.0009760651,0.0004476929,0.00009061364],"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":[0.00005146812,0.00005429009,0.0002288451,0.0002144871,0.00002630861,0.0001226093,0.0004580358,0.009963294,0.002986857,0.9094795,0.002370534,0.07404371],"study_design_scores_gemma":[0.00004931864,0.0001883246,0.0002942507,0.0004217455,0.00005972971,0.0005832473,0.0006958188,0.1022722,0.01237297,0.7464435,0.1365537,0.00006517876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01575591,0.006338065,0.9057292,0.006375962,0.0006573405,0.0003353572,0.00004948656,0.0004335468,0.06432511],"genre_scores_gemma":[0.5500548,0.02139185,0.3829802,0.0009323917,0.001180527,0.000862764,0.0001272648,0.0002847348,0.04218547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004572104,"threshold_uncertainty_score":0.01474416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06733819456268755,"score_gpt":0.3053017975361543,"score_spread":0.2379636029734668,"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."}}