{"id":"W4306665557","doi":"10.18280/ijsse.120412","title":"Comprehensive Analysis of Privacy Attacks in Online Social Network: Security Issues and Challenges","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Savitribai Phule Pune University","keywords":"Internet privacy; Computer security; Confidentiality; Cybercrime; Personally identifiable information; Information privacy; Private information retrieval; Privacy by Design; Computer science; Privacy software; Social network (sociolinguistics); Privacy policy; Social media; The Internet; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009061195,0.00009459125,0.0003319755,0.0003918512,0.0001788606,0.0000317117,0.0003688926,0.00006032619,0.00004458469],"category_scores_gemma":[0.0001855623,0.0001071414,0.00009824606,0.0003494306,0.00007974207,0.0003127676,0.0003829086,0.0003921993,6.580655e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242791,"about_ca_system_score_gemma":0.00004092141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006323592,"about_ca_topic_score_gemma":0.0006162724,"domain_scores_codex":[0.9985837,0.0001619242,0.0004359747,0.0001312607,0.0005271389,0.0001600434],"domain_scores_gemma":[0.9992493,0.0001652928,0.0002511513,0.00006343158,0.000208505,0.00006236429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002819609,0.00187057,0.04304044,0.0005271239,0.007562004,0.0003826683,0.6190835,0.08645888,0.0005255993,0.1818613,0.0006230444,0.05524531],"study_design_scores_gemma":[0.003374545,0.0003722323,0.3470848,0.0001975551,0.0005150583,0.00009340184,0.03709245,0.05892252,0.0000419017,0.02771793,0.5238594,0.0007281267],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760706,0.01317119,0.0003653961,0.00938833,0.0006111519,0.0001085808,0.000159553,0.00001600495,0.0001091883],"genre_scores_gemma":[0.9780596,0.02118655,0.0002126391,0.00004307134,0.0004665373,0.000001505086,0.00002260593,0.000005242575,0.000002287672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.581991,"threshold_uncertainty_score":0.4369101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319162568829923,"score_gpt":0.3151701703318163,"score_spread":0.2819785446435171,"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."}}