{"id":"W2148415790","doi":"10.1109/ssiri.2011.24","title":"ReLACK: A Reliable VoIP Steganography Approach","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Steganography; Voice over IP; Computer science; Steganalysis; Network packet; Computer network; Steganography tools; Reliability (semiconductor); Computer security; Redundancy (engineering); The Internet; Embedding; 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":[0.0002544091,0.0001718391,0.0001559698,0.0002664474,0.0001483046,0.00006880859,0.001167831,0.00009136104,0.0000182297],"category_scores_gemma":[0.000005270721,0.0001372486,0.000140242,0.0008593107,0.00008088761,0.0008782659,0.0002542232,0.0001716101,0.00002321897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008786782,"about_ca_system_score_gemma":0.00001608432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678714,"about_ca_topic_score_gemma":0.000001128039,"domain_scores_codex":[0.9987332,0.00003648711,0.0002156606,0.0004502967,0.0001911906,0.0003731898],"domain_scores_gemma":[0.9988447,0.00001545917,0.00006880512,0.0009092868,0.00005928552,0.0001024355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001871548,0.0002616528,0.00762442,0.00002468532,0.00003438811,0.00001951461,0.001842216,0.000003321187,0.0002067933,0.9748083,0.005322679,0.009833293],"study_design_scores_gemma":[0.0009599625,0.0007732385,0.00998345,0.00008240531,0.00003036438,0.0001576843,0.0002210325,0.01088824,0.08703683,0.8170961,0.07095739,0.001813317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009383499,0.0000668033,0.7237342,0.00002824721,0.00009682941,0.0001268073,3.65648e-7,0.001262038,0.2737463],"genre_scores_gemma":[0.3447989,0.00002681757,0.6542438,0.0002482214,0.00001478035,0.00003181144,0.000001093591,0.000009236397,0.0006253189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3438605,"threshold_uncertainty_score":0.5596835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006045259881843,"score_gpt":0.2217861834042027,"score_spread":0.1917257308053843,"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."}}