{"id":"https://openalex.org/W4406266453","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757473","title":"Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems","display_name":"Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266453","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757473"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070837456","display_name":"Lesther Santana","orcid":null},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lesther Santana","raw_affiliation_strings":["Fordham Univ.,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fordham Univ.,NY,USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114638153","display_name":"Paul Badu Yakubu","orcid":null},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Badu Yakubu","raw_affiliation_strings":["Fordham Univ.,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fordham Univ.,NY,USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034857575","display_name":"Evans Owusu","orcid":"https://orcid.org/0000-0003-0772-3271"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evans Owusu","raw_affiliation_strings":["Fordham Univ.,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fordham Univ.,NY,USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017529726","display_name":"Mohamed Rahouti","orcid":"https://orcid.org/0000-0001-9701-5505"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Rahouti","raw_affiliation_strings":["Fordham Univ.,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fordham Univ.,NY,USA","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007232302","display_name":"Abdellah Chehri","orcid":"https://orcid.org/0000-0002-4193-6062"},"institutions":[{"id":"https://openalex.org/I51768193","display_name":"Royal Military College of Canada","ror":"https://ror.org/04yr71909","country_code":"CA","type":"education","lineage":["https://openalex.org/I51768193"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdellah Chehri","raw_affiliation_strings":["Royal Military College of Canada,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Military College of Canada,Kingston,Canada","institution_ids":["https://openalex.org/I51768193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689516","display_name":"Kaiqi Xiong","orcid":"https://orcid.org/0000-0003-2933-8083"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaiqi Xiong","raw_affiliation_strings":["Univ. of South Florida,Tampa,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of South Florida,Tampa,FL,USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012385538","display_name":"Yufeng Xin","orcid":"https://orcid.org/0000-0002-1648-3575"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yufeng Xin","raw_affiliation_strings":["Univ. of North Carolina,Chapel Hill,NC,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina,Chapel Hill,NC,USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9846000075340271,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9846000075340271,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.901199996471405,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514992713928223},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5401521921157837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4175850450992584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514992713928223},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5401521921157837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4175850450992584},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Denial":[0],"of":[1,52,91,98,128,133,143],"Service":[2],"(DoS)":[3],"attacks":[4,35],"pose":[5],"a":[6,49,58],"significant":[7],"threat":[8],"to":[9,56,106],"AI":[10,20],"systems":[11],"security,":[12],"causing":[13],"substantial":[14],"financial":[15],"losses":[16],"and":[17,27,32,39,45,75,118,136,146,156],"downtime.":[18],"However,":[19],"systems\u2019":[21],"high":[22],"computational":[23],"demands,":[24],"dynamic":[25],"behavior,":[26],"data":[28],"variability":[29],"make":[30],"monitoring":[31],"detecting":[33],"DoS":[34,43,99,111,134,154],"challenging.":[36],"Nowadays,":[37],"statistical":[38,116,131],"machine":[40],"learning":[41],"(ML)-based":[42],"classification":[44,155],"detection":[46,77,97],"approaches":[47],"utilize":[48],"broad":[50],"range":[51],"feature":[53,59,92,104,119,137,150],"selection":[54,66,93,151],"mechanisms":[55],"select":[57],"subset":[60],"from":[61],"networking":[62],"traffic":[63,112,135],"datasets.":[64],"Feature":[65],"is":[67],"critical":[68],"in":[69,94,110,139],"enhancing":[70],"the":[71,81,89,107,126,129,141,144,148],"overall":[72,108],"model":[73],"performance":[74],"attack":[76,145],"accuracy":[78],"while":[79],"reducing":[80],"training":[82],"time.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87,102],"investigate":[88],"importance":[90],"improving":[95],"ML-based":[96,153],"attacks.":[100],"Specifically,":[101],"explore":[103],"contribution":[105],"components":[109],"datasets":[113],"by":[114],"utilizing":[115],"analysis":[117,132],"engineering":[120,138],"approaches.":[121],"Our":[122],"experimental":[123],"findings":[124],"demonstrate":[125],"usefulness":[127],"thorough":[130],"understanding":[140],"behavior":[142],"identifying":[147],"best":[149],"for":[152],"detection.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}