{"id":"https://openalex.org/W4283209458","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9798287","title":"Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network","display_name":"Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283209458","doi":"https://doi.org/10.1109/infocomwkshps54753.2022.9798287"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps54753.2022.9798287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9798287","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"article","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/A5027723967","display_name":"Zhu Xiao-lin","orcid":"https://orcid.org/0000-0001-7934-3222"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolin Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419834","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-0066-3448"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422993","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0001-9165-1439"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028821253","display_name":"Da Guo","orcid":"https://orcid.org/0000-0001-9564-2994"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350165","display_name":"Qi Li","orcid":"https://orcid.org/0000-0001-8776-8730"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027723967"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.767,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86721612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980999827384949,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980999827384949,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9922999739646912,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9825999736785889,"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/interpretability","display_name":"Interpretability","score":0.9206159114837646},{"id":"https://openalex.org/keywords/botnet","display_name":"Botnet","score":0.8699696063995361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782769203186035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5590215921401978},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5282717943191528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090855956077576},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.48681947588920593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4669818580150604},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.420406699180603},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20682740211486816}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9206159114837646},{"id":"https://openalex.org/C22735295","wikidata":"https://www.wikidata.org/wiki/Q317671","display_name":"Botnet","level":3,"score":0.8699696063995361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782769203186035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5590215921401978},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5282717943191528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090855956077576},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.48681947588920593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4669818580150604},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.420406699180603},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20682740211486816},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps54753.2022.9798287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps54753.2022.9798287","pdf_url":null,"source":{"id":"https://openalex.org/S4363607985","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1493609275","https://openalex.org/W1530215515","https://openalex.org/W2191989567","https://openalex.org/W2410154332","https://openalex.org/W2613920221","https://openalex.org/W2883062872","https://openalex.org/W2915130643","https://openalex.org/W2962883557","https://openalex.org/W2972317931","https://openalex.org/W2973442392","https://openalex.org/W2979997102","https://openalex.org/W3011482926","https://openalex.org/W3033091443","https://openalex.org/W3101178806","https://openalex.org/W3103717137","https://openalex.org/W3126371003","https://openalex.org/W6742162214","https://openalex.org/W6767288045","https://openalex.org/W6774909299","https://openalex.org/W6786048916","https://openalex.org/W6790580958"],"related_works":["https://openalex.org/W2294483539","https://openalex.org/W2378449000","https://openalex.org/W2905433371","https://openalex.org/W2901835651","https://openalex.org/W3005861778","https://openalex.org/W2883616266","https://openalex.org/W186576250","https://openalex.org/W2372254325","https://openalex.org/W2185627654","https://openalex.org/W2066625485"],"abstract_inverted_index":{"Due":[0],"to":[1,5,35,42,65,85,128,169],"the":[2,24,67,79,83,90,93,98,102,107,111,118,121,125,158,166,171,184],"conspicuous":[3],"ability":[4],"capture":[6],"topology":[7],"characteristics,":[8],"graph":[9,113],"neural":[10],"networks":[11],"(GNN)":[12],"have":[13],"been":[14],"widely":[15],"used":[16],"in":[17],"botnet":[18,71,174,185],"detection":[19,72,175,186],"and":[20,106,124,148,177],"proven":[21],"efficient.":[22],"However,":[23],"blackbox":[25],"nature":[26],"of":[27,69,160,173],"GNN":[28,103,136],"models":[29,50],"creates":[30],"an":[31,151],"obstacle":[32],"for":[33,154,182],"users":[34],"trust":[36],"these":[37,49,138],"classified":[38],"instruments.":[39],"In":[40],"addition":[41],"high":[43],"accuracy,":[44],"stakeholders":[45],"also":[46],"hope":[47],"that":[48,81],"are":[51],"consistent":[52],"with":[53,58],"human":[54],"cognition.":[55],"To":[56,157],"cope":[57],"this":[59],"problem,":[60],"we":[61],"propose":[62],"a":[63,130,180],"method":[64],"evaluate":[66],"trustworthiness":[68],"GNN-based":[70],"models,":[73,137],"called":[74],"BD-GNNExplainer.":[75],"Concretely,":[76],"BD-GNNExplainer":[77],"extracts":[78],"data":[80,123,127],"contribute":[82],"most":[84],"GNN\u2019s":[86],"decision":[87],"by":[88,97,110],"reducing":[89],"loss":[91],"between":[92,120],"classification":[94],"results":[95,108],"generated":[96,109],"selected":[99],"subgraph":[100],"as":[101,114],"model\u2019s":[104],"input":[105],"entire":[112],"input.":[115],"We":[116],"calculate":[117],"relevance":[119],"model-relied":[122],"informative":[126],"quantify":[129],"score":[131],"expressing":[132],"interpretability.":[133],"For":[134],"different-structure":[135],"scores":[139],"will":[140,178],"tell":[141],"us":[142],"which":[143],"one":[144],"is":[145,165],"more":[146,188],"trustworthy":[147],"ultimately":[149],"become":[150],"essential":[152],"basis":[153],"model":[155],"optimization.":[156],"best":[159],"our":[161,163],"knowledge,":[162],"work":[164],"first":[167],"time":[168],"discuss":[170],"interpretability":[172],"systems":[176],"provide":[179],"guideline":[181],"making":[183],"methodology":[187],"understandable.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
