{"id":"W2173740000","doi":"10.4108/sesa.2.3.e4","title":"WG-8: A Lightweight Stream Cipher for Resource-Constrained Smart Devices","year":2015,"lang":"en","type":"article","venue":"ICST Transactions on Security and Safety","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stream cipher; Computer science; Cryptography; Stream cipher attack; Embedded system; Cipher; Block cipher; Context (archaeology); Implementation; Computer network; Computer security; Encryption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005091622,0.0002008579,0.0002204023,0.000178927,0.0005199013,0.0001886717,0.0003133528,0.0001117982,0.00005476471],"category_scores_gemma":[0.00001147874,0.0001879431,0.0001401902,0.0004339486,0.0001117785,0.0004198083,0.00001309246,0.000201535,0.000007180053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004582408,"about_ca_system_score_gemma":0.000122368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009312894,"about_ca_topic_score_gemma":0.001062019,"domain_scores_codex":[0.9985402,0.00008569271,0.0003458093,0.0004425133,0.0002591829,0.0003265901],"domain_scores_gemma":[0.9989191,0.0002139609,0.00007441548,0.0003927908,0.000135913,0.0002637627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009066341,0.002157249,0.000789184,0.0002243709,0.0005145404,0.00002664044,0.05218333,0.0003566084,0.00008353168,0.6187767,0.005662397,0.3183188],"study_design_scores_gemma":[0.006033429,0.001057863,0.001016122,0.00006500268,0.0001181322,0.00007501384,0.004412492,0.02651853,0.001023269,0.05167957,0.9070728,0.0009278026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01962948,0.0001747796,0.9694407,0.004765294,0.0003327921,0.0005917143,0.0002794158,0.0002172416,0.004568581],"genre_scores_gemma":[0.9871368,0.00005613787,0.01185354,0.0007118495,0.00005451171,0.00007014149,0.00003047853,0.00001190794,0.00007459729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9675074,"threshold_uncertainty_score":0.7664096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565692146136776,"score_gpt":0.2689670923101444,"score_spread":0.2433101708487767,"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."}}