{"id":"https://openalex.org/W4210659135","doi":"https://doi.org/10.3390/s22031154","title":"Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method","display_name":"Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method","publication_year":2022,"publication_date":"2022-02-03","ids":{"openalex":"https://openalex.org/W4210659135","doi":"https://doi.org/10.3390/s22031154","pmid":"https://pubmed.ncbi.nlm.nih.gov/35161899"},"language":"en","primary_location":{"id":"doi:10.3390/s22031154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031154","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1154/pdf?version=1644379523","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/3/1154/pdf?version=1644379523","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004516421","display_name":"Thi-Thu-Huong Le","orcid":"https://orcid.org/0000-0002-8366-9396"},"institutions":[{"id":"https://openalex.org/I1285420085","display_name":"Hung Yen University of Technology and Education","ror":"https://ror.org/052yjgk16","country_code":"VN","type":"education","lineage":["https://openalex.org/I1285420085"]},{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR","VN"],"is_corresponding":false,"raw_author_name":"Thi-Thu-Huong Le","raw_affiliation_strings":["Faculty of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam","IoT Research Center, Pusan National University, Busan 609735, Korea"],"raw_orcid":"https://orcid.org/0000-0002-8366-9396","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam","institution_ids":["https://openalex.org/I1285420085"]},{"raw_affiliation_string":"IoT Research Center, Pusan National University, Busan 609735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103275917","display_name":"Haeyoung Kim","orcid":"https://orcid.org/0000-0003-2739-206X"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haeyoung Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033887495","display_name":"Hyoeun Kang","orcid":"https://orcid.org/0000-0002-9651-7439"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyoeun Kang","raw_affiliation_strings":["School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea"],"raw_orcid":"https://orcid.org/0000-0002-9651-7439","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101975138","display_name":"Howon Kim","orcid":"https://orcid.org/0000-0001-8475-7294"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Howon Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea"],"raw_orcid":"https://orcid.org/0000-0001-8475-7294","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Pusan National University, Busan 609735, Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101975138"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":19.4217,"has_fulltext":false,"cited_by_count":194,"citation_normalized_percentile":{"value":0.99745155,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"3","first_page":"1154","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8184928297996521},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7182573676109314},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7025394439697266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583927571773529},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5665968060493469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5611074566841125},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5599290728569031},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5390867590904236},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5258527398109436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.497588187456131},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48095598816871643},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4800482988357544},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4715797007083893},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4632827639579773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45852771401405334},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4389399588108063},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08225846290588379}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184928297996521},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7182573676109314},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7025394439697266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583927571773529},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5665968060493469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5611074566841125},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5599290728569031},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5390867590904236},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5258527398109436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.497588187456131},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48095598816871643},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4800482988357544},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4715797007083893},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4632827639579773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45852771401405334},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4389399588108063},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08225846290588379},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016494","descriptor_name":"Computer Security","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016494","descriptor_name":"Computer Security","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016494","descriptor_name":"Computer Security","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22031154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031154","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1154/pdf?version=1644379523","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35161899","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35161899","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:0aa2474b74dc4a13826278f77c06c77c","is_oa":true,"landing_page_url":"https://doaj.org/article/0aa2474b74dc4a13826278f77c06c77c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 3, p 1154 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/3/1154/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22031154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 3; Pages: 1154","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8840013","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8840013","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22031154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031154","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1154/pdf?version=1644379523","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4210659135.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1615454278","https://openalex.org/W1884606608","https://openalex.org/W2001107211","https://openalex.org/W2009033060","https://openalex.org/W2031163547","https://openalex.org/W2047408376","https://openalex.org/W2071221494","https://openalex.org/W2076587863","https://openalex.org/W2104593144","https://openalex.org/W2129888542","https://openalex.org/W2169041657","https://openalex.org/W2296509296","https://openalex.org/W2335999708","https://openalex.org/W2342408547","https://openalex.org/W2512144135","https://openalex.org/W2598811698","https://openalex.org/W2604813584","https://openalex.org/W2618851150","https://openalex.org/W2751399725","https://openalex.org/W2751639377","https://openalex.org/W2765634532","https://openalex.org/W2782735691","https://openalex.org/W2786743105","https://openalex.org/W2789828921","https://openalex.org/W2793174642","https://openalex.org/W2886099373","https://openalex.org/W2886822894","https://openalex.org/W2887597525","https://openalex.org/W2898726669","https://openalex.org/W2902900716","https://openalex.org/W2922887396","https://openalex.org/W2928016897","https://openalex.org/W2946427082","https://openalex.org/W2953450824","https://openalex.org/W2955014922","https://openalex.org/W2963197901","https://openalex.org/W2963748489","https://openalex.org/W2970969522","https://openalex.org/W3011446929","https://openalex.org/W3017093935","https://openalex.org/W3022600310","https://openalex.org/W3022604549","https://openalex.org/W3047589287","https://openalex.org/W3090540360","https://openalex.org/W3090721908","https://openalex.org/W3102359135","https://openalex.org/W3110277274","https://openalex.org/W3110852602","https://openalex.org/W3117906366","https://openalex.org/W3121453273","https://openalex.org/W3128098287","https://openalex.org/W3131541364","https://openalex.org/W3149086027","https://openalex.org/W3157871125","https://openalex.org/W3174500793","https://openalex.org/W3180273110","https://openalex.org/W3189329220","https://openalex.org/W3190219082","https://openalex.org/W3196585642","https://openalex.org/W3208773001","https://openalex.org/W4246948871","https://openalex.org/W4297846671","https://openalex.org/W4299317891","https://openalex.org/W6764299161","https://openalex.org/W6776224622","https://openalex.org/W6799654930","https://openalex.org/W6828671926"],"related_works":["https://openalex.org/W2122022187","https://openalex.org/W2115529843","https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3136871737","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763"],"abstract_inverted_index":{"In":[0,57,176,212],"recent":[1],"years,":[2],"many":[3],"methods":[4,83],"for":[5,62,173,183,219],"intrusion":[6],"detection":[7,24,125],"systems":[8],"(IDS)":[9],"have":[10,20,84],"been":[11,86],"designed":[12],"and":[13,161,192,200,237,244,270],"developed":[14],"in":[15,38,47,54,88,104,252,267],"the":[16,68,93,112,115,123,153,184,188,197,204,208,214,222,230,239,254,258,272,279,282],"research":[17],"community,":[18],"which":[19,166],"achieved":[21],"a":[22],"perfect":[23],"rate":[25],"using":[26,75],"IDS":[27,78,82,116,128,132,148],"datasets.":[28,79],"Deep":[29],"neural":[30],"networks":[31],"(DNNs)":[32],"are":[33,43,181],"representative":[34],"examples":[35],"applied":[36,87,228],"widely":[37],"IDS.":[39],"However,":[40],"DNN":[41,73],"models":[42,74],"becoming":[44],"increasingly":[45],"complex":[46],"model":[48,143],"architectures":[49],"with":[50,129],"high":[51,170],"resource":[52],"computing":[53,171],"hardware":[55],"requirements.":[56],"addition,":[58,177,213],"it":[59],"is":[60,150,217,227,248],"difficult":[61],"humans":[63],"to":[64,98,101,111,121,229,235],"obtain":[65],"explanations":[66,138,280],"behind":[67],"decisions":[69,109,241],"made":[70],"by":[71],"these":[72],"large":[76],"IoT-based":[77,131],"Many":[80],"proposed":[81,146,189],"not":[85,168,249],"practical":[89],"deployments,":[90],"because":[91],"of":[92,95,106,114,127,139,187,196,207,242,257,274,281],"lack":[94],"explanation":[96],"given":[97],"cybersecurity":[99,265],"experts,":[100],"support":[102],"them":[103],"terms":[105],"optimizing":[107,269],"their":[108,275],"according":[110],"judgments":[113,276],"models.":[117,175],"This":[118],"paper":[119],"aims":[120],"enhance":[122],"attack":[124],"performance":[126],"big":[130,179],"datasets":[133,180],"as":[134,136],"well":[135],"provide":[137],"machine":[140],"learning":[141],"(ML)":[142],"predictions.":[144],"The":[145],"ML-based":[147],"method":[149],"based":[151,277],"on":[152,278],"ensemble":[154,259],"trees":[155],"approach,":[156],"including":[157],"decision":[158,256],"tree":[159,260],"(DT)":[160],"random":[162],"forest":[163],"(RF)":[164],"classifiers":[165],"do":[167],"require":[169],"resources":[172],"training":[174],"two":[178],"used":[182,218],"experimental":[185],"evaluation":[186],"method,":[190],"NF-BoT-IoT-v2,":[191],"NF-ToN-IoT-v2":[193],"(new":[194],"versions":[195],"original":[198],"BoT-IoT":[199],"ToN-IoT":[201],"datasets),":[202],"through":[203],"feature":[205],"set":[206],"net":[209],"flow":[210],"meter.":[211],"IoTDS20":[215],"dataset":[216],"experiments.":[220],"Furthermore,":[221],"SHapley":[223],"additive":[224],"exPlanations":[225],"(SHAP)":[226],"eXplainable":[231],"AI":[232],"(XAI)":[233],"methodology":[234],"explain":[236],"interpret":[238],"classification":[240],"DT":[243],"RF":[245],"models;":[246],"this":[247],"only":[250],"effective":[251],"interpreting":[253],"final":[255],"approach":[261],"but":[262],"also":[263],"supports":[264],"experts":[266],"quickly":[268],"evaluating":[271],"correctness":[273],"results.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":63},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":14}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
