{"id":"https://openalex.org/W7166807976","doi":"https://doi.org/10.1109/sp63933.2026.00242","title":"Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection","display_name":"Beyond Nodes vs. Edges: A Multi-View Fusion Framework for Provenance-Based Intrusion Detection","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7166807976","doi":"https://doi.org/10.1109/sp63933.2026.00242"},"language":null,"primary_location":{"id":"doi:10.1109/sp63933.2026.00242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sp63933.2026.00242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Symposium on Security and Privacy (SP)","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/A5139755360","display_name":"Fan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100305852","display_name":"Binyan Xu","orcid":"https://orcid.org/0009-0006-1073-1837"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Binyan Xu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139743051","display_name":"Di Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Tang","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008237643","display_name":"Kehuan Zhang","orcid":"https://orcid.org/0000-0003-1519-0057"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kehuan Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3739","last_page":"3758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.7745000123977661,"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":0.7745000123977661,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.03629999980330467,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.03610000014305115,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5235999822616577},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.40070000290870667},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.31290000677108765},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3102000057697296},{"id":"https://openalex.org/keywords/intrusion-prevention-system","display_name":"Intrusion prevention system","score":0.29919999837875366},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.27469998598098755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598000288009644},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32910001277923584},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C27061796","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion prevention system","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sp63933.2026.00242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sp63933.2026.00242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Symposium on Security and Privacy (SP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4223034679889679,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1594453127","https://openalex.org/W2089554624","https://openalex.org/W2136132422","https://openalex.org/W2284900416","https://openalex.org/W2296719434","https://openalex.org/W2528542283","https://openalex.org/W2560810941","https://openalex.org/W2747669027","https://openalex.org/W2790316935","https://openalex.org/W2790557990","https://openalex.org/W2910711617","https://openalex.org/W2947745012","https://openalex.org/W2962703433","https://openalex.org/W2963020213","https://openalex.org/W2998010923","https://openalex.org/W2998038410","https://openalex.org/W2998702515","https://openalex.org/W3006711782","https://openalex.org/W3008991042","https://openalex.org/W3015650867","https://openalex.org/W3109160943","https://openalex.org/W3137205257","https://openalex.org/W3172444956","https://openalex.org/W3206604724","https://openalex.org/W3212868562","https://openalex.org/W4288057803","https://openalex.org/W4290876361","https://openalex.org/W4324007191","https://openalex.org/W4384948624","https://openalex.org/W4387298384","https://openalex.org/W4388481469","https://openalex.org/W4388858673","https://openalex.org/W4402263650","https://openalex.org/W4402265033","https://openalex.org/W4402288718","https://openalex.org/W4403716417","https://openalex.org/W4408750016","https://openalex.org/W4415124086","https://openalex.org/W4416549596"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-02T00:00:00"}