{"id":"https://openalex.org/W4413764720","doi":"https://doi.org/10.32604/cmc.2025.068767","title":"Graph-Based Intrusion Detection with Explainable Edge Classification Learning","display_name":"Graph-Based Intrusion Detection with Explainable Edge Classification Learning","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W4413764720","doi":"https://doi.org/10.32604/cmc.2025.068767"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.068767","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068767","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.068767","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101750865","display_name":"Jaeho Shin","orcid":"https://orcid.org/0000-0003-2121-9311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaeho Shin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652683","display_name":"Jaekwang Kim","orcid":"https://orcid.org/0000-0002-6948-2680"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaekwang Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1081,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82095885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"86","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9954000115394592,"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":0.9954000115394592,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9724000096321106,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9611999988555908,"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":0.6182880401611328},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.585699737071991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5256515741348267},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5059980750083923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4275437593460083},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23923376202583313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182880401611328},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.585699737071991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5256515741348267},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5059980750083923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4275437593460083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23923376202583313}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.068767","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068767","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.068767","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068767","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Network":[0],"attacks":[1,56,85],"have":[2,17,23,152],"become":[3],"a":[4,51,73,79,204],"critical":[5],"issue":[6],"in":[7,176,207],"the":[8,42,62,68,91,103,144,148,153,157,180,191,208],"internet":[9],"security":[10,200],"domain.":[11],"Artificial":[12],"intelligence":[13],"technology-based":[14],"detection":[15,43,63,175],"methodologies":[16],"attracted":[18],"attention;":[19],"however,":[20],"recent":[21],"studies":[22],"struggled":[24],"to":[25,27,40,60,82,109,188,197],"adapt":[26],"changing":[28],"attack":[29,174],"patterns":[30],"and":[31,101,128,136,179,202],"complex":[32,177],"network":[33,55,69,84,173,199],"environments.":[34],"In":[35,162],"addition,":[36],"it":[37],"is":[38],"difficult":[39],"explain":[41,61,90],"results":[44],"logically":[45],"using":[46,57,86],"artificial":[47],"intelligence.":[48],"We":[49,76],"propose":[50],"method":[52],"for":[53,172],"classifying":[54],"graph":[58,80,138,183],"models":[59,169],"results.":[64,192],"First,":[65],"we":[66,94],"reconstruct":[67],"packet":[70],"data":[71],"into":[72],"graphical":[74],"structure.":[75],"then":[77],"use":[78],"model":[81],"predict":[83],"edge":[87],"classification.":[88],"To":[89],"prediction":[92],"results,":[93,158],"observed":[95],"numerical":[96],"changes":[97],"by":[98],"randomly":[99],"masking":[100],"calculating":[102],"importance":[104,181],"of":[105,126,130,143,182],"neighbors,":[106],"allowing":[107],"us":[108],"extract":[110],"significant":[111],"subgraphs.":[112],"Our":[113],"experiments":[114],"on":[115,156],"six":[116],"public":[117],"datasets":[118],"demonstrate":[119],"superior":[120],"performance":[121],"with":[122],"an":[123],"average":[124],"F1-score":[125],"0.960":[127],"accuracy":[129],"0.964,":[131],"outperforming":[132],"traditional":[133],"machine":[134],"learning":[135],"other":[137],"models.":[139],"The":[140],"visual":[141],"representation":[142],"extracted":[145],"subgraphs":[146],"highlights":[147],"neighboring":[149],"nodes":[150],"that":[151,167],"greatest":[154],"impact":[155],"thus":[159],"explaining":[160],"detection.":[161],"conclusion,":[163],"this":[164],"study":[165],"demonstrates":[166],"graph-based":[168],"are":[170],"suitable":[171],"environments,":[178],"neighbors":[184],"can":[185,195],"be":[186],"calculated":[187],"efficiently":[189],"analyze":[190],"This":[193],"approach":[194],"contribute":[196],"real-world":[198],"analyses":[201],"provide":[203],"new":[205],"direction":[206],"field.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}