{"id":"https://openalex.org/W4401751539","doi":"https://doi.org/10.1109/icccn61486.2024.10637618","title":"A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System","display_name":"A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401751539","doi":"https://doi.org/10.1109/icccn61486.2024.10637618"},"language":"en","primary_location":{"id":"doi:10.1109/icccn61486.2024.10637618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn61486.2024.10637618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 33rd International Conference on Computer Communications and Networks (ICCCN)","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/A5049225058","display_name":"Alice Bizzarri","orcid":"https://orcid.org/0000-0001-9259-7761"},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alice Bizzarri","raw_affiliation_strings":["University of Ferrara,Ferrara,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ferrara,Ferrara,Italy","institution_ids":["https://openalex.org/I201324441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084773390","display_name":"Brian Jalaian","orcid":"https://orcid.org/0000-0003-3029-601X"},"institutions":[{"id":"https://openalex.org/I1335578998","display_name":"Florida Institute for Human and Machine Cognition","ror":"https://ror.org/02napvw46","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1335578998"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Jalaian","raw_affiliation_strings":["Florida Institute for Human-Machine Cognition,Pensacola,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Institute for Human-Machine Cognition,Pensacola,USA","institution_ids":["https://openalex.org/I1335578998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086909487","display_name":"Fabrizio Riguzzi","orcid":"https://orcid.org/0000-0003-1654-9703"},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Riguzzi","raw_affiliation_strings":["University of Ferrara,Ferrara,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ferrara,Ferrara,Italy","institution_ids":["https://openalex.org/I201324441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032194186","display_name":"Nathaniel D. Bastian","orcid":"https://orcid.org/0000-0001-9957-2778"},"institutions":[{"id":"https://openalex.org/I192545095","display_name":"United States Military Academy","ror":"https://ror.org/01jepya76","country_code":"US","type":"education","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I192545095","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel D. Bastian","raw_affiliation_strings":["Army Cyber Institute, United States Military Academy,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Cyber Institute, United States Military Academy,USA","institution_ids":["https://openalex.org/I192545095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9628999829292297,"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":0.9628999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423104047775269},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7126376032829285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5864823460578918},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5415191650390625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423104047775269},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7126376032829285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864823460578918},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5415191650390625}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icccn61486.2024.10637618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn61486.2024.10637618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 33rd International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:sfera.unife.it:11392/2566030","is_oa":false,"landing_page_url":"https://hdl.handle.net/11392/2566030","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332447","display_name":"U.S. Army","ror":"https://ror.org/00afsp483"},{"id":"https://openalex.org/F4320337632","display_name":"U.S. Military Academy","ror":"https://ror.org/01jepya76"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1985987493","https://openalex.org/W2045645437","https://openalex.org/W2116873850","https://openalex.org/W2127426251","https://openalex.org/W2342408547","https://openalex.org/W2343828539","https://openalex.org/W2789828921","https://openalex.org/W2799270168","https://openalex.org/W2972317931","https://openalex.org/W3025093231","https://openalex.org/W3165574415","https://openalex.org/W3216178672","https://openalex.org/W4286978404","https://openalex.org/W4302299571","https://openalex.org/W4308972781","https://openalex.org/W4309179914","https://openalex.org/W4324118277","https://openalex.org/W4385486090","https://openalex.org/W4390190024","https://openalex.org/W6678846912","https://openalex.org/W6717907803","https://openalex.org/W6750523317","https://openalex.org/W6757902542","https://openalex.org/W6767288045","https://openalex.org/W6771646952","https://openalex.org/W6801153587"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Ever-changing":[0],"cyber":[1,103],"threats":[2],"require":[3],"strong":[4],"and":[5,24,77,89,160],"flexible":[6],"network":[7,33,44,79,162],"security":[8],"solutions.":[9],"This":[10,81,147],"paper":[11],"suggests":[12],"a":[13,28,49,101,153],"new":[14,87,154],"method":[15],"to":[16,73,86,124,156],"improve":[17],"the":[18,59,70],"performance":[19],"of":[20,52],"detecting":[21],"both":[22,158],"known":[23,137,159],"unknown":[25,145,161],"attacks":[26,88,122],"using":[27],"neuro-symbolic":[29],"artificial":[30],"intelligence":[31],"(NSAI)":[32],"intrusion":[34],"detection":[35],"system":[36,130],"(NIDS).":[37],"Deep":[38],"neural":[39],"networks":[40],"(DNN)":[41],"learn":[42],"complex":[43],"data":[45],"patterns,":[46],"which":[47],"create":[48],"detailed":[50],"overview":[51],"cyber-attack":[53],"characteristics.":[54],"Symbolic":[55],"logic":[56],"integration":[57],"into":[58],"DNN":[60,71,126],"allows":[61],"for":[62],"model":[63],"training":[64],"guidance":[65],"by":[66,151,164],"applying":[67],"penalties":[68],"when":[69],"fails":[72],"differentiate":[74],"between":[75],"malicious":[76],"benign":[78],"traffic.":[80],"improves":[82,149],"our":[83,97,129],"model\u2019s":[84],"adaptability":[85],"overcomes":[90],"traditional":[91,125],"signature-based":[92],"NIDS":[93,99,142],"limitations.":[94],"By":[95],"testing":[96],"NSAI":[98],"on":[100],"large":[102],"dataset":[104],"that":[105,112],"includes":[106],"novel":[107],"attack":[108],"scenarios,":[109],"we":[110],"show":[111],"it":[113,120,139],"delivers":[114],"an":[115],"improvement":[116],"in":[117,135,143],"how":[118],"accurately":[119],"detects":[121],"compared":[123],"methods.":[127],"While":[128],"maintains":[131],"its":[132],"high":[133],"accuracy":[134],"recognizing":[136],"attacks,":[138],"outperforms":[140],"conventional":[141],"discovering":[144],"attacks.":[146],"work":[148],"cybersecurity":[150],"introducing":[152],"way":[155],"detect":[157],"intrusions":[163],"combining":[165],"DNNs":[166],"with":[167],"symbolic":[168],"logic.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2024-08-23T00:00:00"}
