{"id":"W4387952692","doi":"10.18280/mmep.100502","title":"Enhancing Data Hiding Methods for Improved Cyber Security Through Histogram Shifting Direction Optimization","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Teknologi Sepuluh Nopember","keywords":"Information hiding; Computer science; Steganography; Covert; Cover (algebra); Histogram; Context (archaeology); Computer security; Data quality; Data security; Covert channel; Data mining; Artificial intelligence; Encryption; Image (mathematics); Engineering","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":[0.001196133,0.0001755792,0.0002309525,0.000119647,0.0002026991,0.000169214,0.0003818069,0.00009436448,4.11056e-7],"category_scores_gemma":[0.0001228886,0.0001651532,0.00004980755,0.0004138439,0.00001713338,0.0006833944,0.000279776,0.0001537098,5.613413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255383,"about_ca_system_score_gemma":0.000006730734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005988381,"about_ca_topic_score_gemma":2.09406e-7,"domain_scores_codex":[0.9987614,0.00002798355,0.0003267948,0.0004591284,0.00008006817,0.0003446733],"domain_scores_gemma":[0.9989827,0.0003794941,0.00007184172,0.0004689544,0.00004123343,0.00005580861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002191697,0.00001977297,7.438819e-7,0.0005943477,0.00002166151,3.687976e-7,0.001805789,0.9619088,0.002355519,0.0238118,0.0000108431,0.009468235],"study_design_scores_gemma":[0.00008003918,0.00002145748,1.344919e-7,0.0002111768,0.00001183754,0.000004475547,0.000008291525,0.8768502,0.002145454,0.1197148,0.0007695181,0.000182613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002646286,0.000160318,0.9971348,0.0001209888,0.0001529891,0.0003291015,0.000002827179,0.00177464,0.00005972001],"genre_scores_gemma":[0.0290205,0.0001289461,0.9706318,0.00001147329,0.00004412414,0.00009537007,0.00002281908,0.00002891167,0.00001605394],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09590296,"threshold_uncertainty_score":0.6734751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336048692163133,"score_gpt":0.3097570242629483,"score_spread":0.256396537341317,"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."}}