{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003212976,0.0006231222,0.00071401,0.002644415,0.001613231,0.003452898,0.0008382275,0.001286632,0.001364294],"category_scores_gemma":[0.01037095,0.0003317132,0.001043318,0.002072373,0.001325842,0.0090152,0.001522896,0.001729595,0.0002752542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426779,"about_ca_system_score_gemma":0.001620451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094229,"about_ca_topic_score_gemma":0.001489812,"domain_scores_codex":[0.9954657,0.001769137,0.0002141702,0.0004118053,0.001695588,0.0004436982],"domain_scores_gemma":[0.9897597,0.004932192,0.001315417,0.001573862,0.002097468,0.0003212033],"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":[0.0002699974,0.0004333102,0.08384405,0.001378916,0.0005469677,0.001736467,0.003552296,0.09662494,0.007112802,0.4300756,0.0173861,0.3570385],"study_design_scores_gemma":[0.00001390951,0.0002393035,0.03256378,0.0005927777,0.000306338,0.00325888,0.004901044,0.6110079,0.006640629,0.2866831,0.05365296,0.0001393711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3941877,0.02428129,0.5095563,0.01886409,0.0004837975,0.0006427047,0.001143367,0.00055405,0.05028665],"genre_scores_gemma":[0.9701226,0.006366391,0.01969539,0.0003048051,0.0002583433,0.00008554436,0.0003545817,0.00003467646,0.002777783],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003452898,"threshold_uncertainty_score":0.01699203,"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."}}