{"id":"W4413157676","doi":"10.1109/icoeca66273.2025.00029","title":"Lightweight Cryptography and IDS for Edge Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Cryptography; Computer security; Enhanced Data Rates for GSM Evolution; Computer network; Artificial intelligence","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":[0.0001901896,0.0001086897,0.0001150986,0.0001776245,0.000122876,0.0001741832,0.0003347693,0.00005879484,0.00001232827],"category_scores_gemma":[0.00001626013,0.00009303795,0.00007048883,0.0005462815,0.00004337111,0.0003243487,0.0001434371,0.00007240603,0.00000492768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015855,"about_ca_system_score_gemma":0.0000315404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009457156,"about_ca_topic_score_gemma":0.000006920816,"domain_scores_codex":[0.9992045,0.00002182859,0.0001487761,0.0003259825,0.00008396973,0.0002149427],"domain_scores_gemma":[0.9993633,0.0001705961,0.00002985033,0.0003005229,0.00007495522,0.0000607434],"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":[0.00001771197,0.00005073306,0.0005388922,0.00003531348,0.0000294622,0.000001891133,0.0000853326,0.0001306099,0.001589445,0.8873159,0.04112992,0.06907474],"study_design_scores_gemma":[0.001422983,0.0002105465,0.004054239,0.0000722681,0.00002729491,0.00000495213,0.00001713308,0.8059461,0.0109571,0.08719242,0.08968873,0.0004062461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009722637,0.0004703612,0.9876765,0.001720739,0.0004243489,0.0002351309,7.551525e-7,0.0002064979,0.00829338],"genre_scores_gemma":[0.5494655,0.0001134372,0.4426391,0.005344894,0.0002642253,0.0001333665,0.000008309958,0.00001625851,0.002014898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8058155,"threshold_uncertainty_score":0.3793977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005904474194671726,"score_gpt":0.2354177000770618,"score_spread":0.22951322588239,"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."}}