{"id":"W2002154183","doi":"10.1016/j.comcom.2007.03.008","title":"An agent based and biological inspired real-time intrusion detection and security model for computer network operations","year":2007,"lang":"en","type":"article","venue":"Computer Communications","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Division of Computer and Network Systems","keywords":"Computer science; Intrusion detection system; Artificial immune system; Host-based intrusion detection system; Mobile agent; Anomaly-based intrusion detection system; Network security; Computer security; Computer network; Distributed computing; Artificial intelligence; Intrusion prevention system","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":[0.0004129201,0.000144798,0.0001718746,0.000076285,0.0006340927,0.00008935112,0.0003037903,0.0001177284,0.000001828523],"category_scores_gemma":[0.000005253868,0.0001513764,0.00003393617,0.0001636034,0.0001151982,0.0001434741,0.0001867413,0.0001359643,0.000004993095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005319966,"about_ca_system_score_gemma":0.00001297137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004519546,"about_ca_topic_score_gemma":0.0004092785,"domain_scores_codex":[0.9991037,0.00007497765,0.0003570475,0.0002073718,0.00005303248,0.0002039292],"domain_scores_gemma":[0.9986361,0.0002070129,0.00003632944,0.000914077,0.00009790331,0.0001085292],"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":[0.00002019454,0.0002135882,0.000410683,0.00003934231,0.00005182406,2.962375e-7,0.001895364,0.8723754,0.03057058,0.007660403,0.0005320494,0.08623032],"study_design_scores_gemma":[0.0001978012,0.00006318421,0.004273521,0.00001664856,0.00001300307,0.000003275254,0.00001200123,0.9933927,0.0001637127,0.0005518352,0.00114811,0.0001641937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893775,0.0001333006,0.8092629,0.0001212313,0.00007377181,0.0005971387,0.0000155827,0.0003475219,0.00007108792],"genre_scores_gemma":[0.7540721,0.00008483104,0.2454018,0.00006573348,0.0001294822,0.0001125904,0.0001115638,0.00001927113,0.000002602636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5646947,"threshold_uncertainty_score":0.6172949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370618672097082,"score_gpt":0.2726622327803447,"score_spread":0.2356003655706365,"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."}}