{"id":"https://openalex.org/W2146082061","doi":"https://doi.org/10.1007/s10115-003-0132-7","title":"Using artificial anomalies to detect unknown and known network intrusions","display_name":"Using artificial anomalies to detect unknown and known network intrusions","publication_year":2004,"publication_date":"2004-04-16","ids":{"openalex":"https://openalex.org/W2146082061","doi":"https://doi.org/10.1007/s10115-003-0132-7","mag":"2146082061"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-003-0132-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-003-0132-7","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-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":null,"display_name":"W. Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"W. Fan","raw_affiliation_strings":["IBM T. J. Watson Research, Hawthorne, NY, 10532, USA","IBM Thomas J. Watson Res. Center, Hawthorne, NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research, Hawthorne, NY, 10532, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Thomas J. Watson Res. Center, Hawthorne, NY,USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101978566","display_name":"Matthew L. Miller","orcid":"https://orcid.org/0000-0003-0416-016X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Miller","raw_affiliation_strings":["Computer Science, Columbia University, New York, NY, USA","[Computer Science Columbia University, New York, NY]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Columbia University, New York, NY]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111451922","display_name":"Sal Stolfo","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Stolfo","raw_affiliation_strings":["Computer Science, Columbia University, New York, NY, USA","[Computer Science Columbia University, New York, NY]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Columbia University, New York, NY]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047140382","display_name":"Wenke Lee","orcid":"https://orcid.org/0000-0003-2761-1277"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I2800444561","display_name":"Atlanta Technical College","ror":"https://ror.org/01s3vfp47","country_code":"US","type":"education","lineage":["https://openalex.org/I2800444561"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Lee","raw_affiliation_strings":["College of Computer Science, Georgia Tech, Atlanta, GA, USA","College of Computer Science, Georgia Tech, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Georgia Tech, Atlanta, GA, USA","institution_ids":["https://openalex.org/I2800444561","https://openalex.org/I130701444"]},{"raw_affiliation_string":"College of Computer Science, Georgia Tech, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072267835","display_name":"Philip K. Chan","orcid":"https://orcid.org/0000-0002-3878-4205"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Chan","raw_affiliation_strings":["Computer Science, Florida Institute of Technology, Melbourn, FL, USA","Computer Science, Florida Institute of Technology, Melbourn, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Florida Institute of Technology, Melbourn, FL, USA","institution_ids":["https://openalex.org/I106959904"]},{"raw_affiliation_string":"Computer Science, Florida Institute of Technology, Melbourn, FL#TAB#","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":10.9796,"has_fulltext":false,"cited_by_count":220,"citation_normalized_percentile":{"value":0.98418837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"6","issue":"5","first_page":"507","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8174524307250977},{"id":"https://openalex.org/keywords/anomaly-based-intrusion-detection-system","display_name":"Anomaly-based intrusion detection system","score":0.7990649938583374},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7913638353347778},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7262786626815796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980823040008545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5901025533676147},{"id":"https://openalex.org/keywords/misuse-detection","display_name":"Misuse detection","score":0.5488345623016357},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5004394054412842},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46352845430374146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519018530845642},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.413418173789978},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3639499545097351},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11881944537162781}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8174524307250977},{"id":"https://openalex.org/C137524506","wikidata":"https://www.wikidata.org/wiki/Q2247688","display_name":"Anomaly-based intrusion detection system","level":3,"score":0.7990649938583374},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7913638353347778},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7262786626815796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980823040008545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5901025533676147},{"id":"https://openalex.org/C2776973144","wikidata":"https://www.wikidata.org/wiki/Q6880649","display_name":"Misuse detection","level":4,"score":0.5488345623016357},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5004394054412842},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46352845430374146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519018530845642},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.413418173789978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3639499545097351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11881944537162781},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10115-003-0132-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-003-0132-7","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.15.7178","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.fit.edu/~pkc/papers/icdm01.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W68163417","https://openalex.org/W85350352","https://openalex.org/W91862604","https://openalex.org/W1506072753","https://openalex.org/W1592090113","https://openalex.org/W1670263352","https://openalex.org/W1794828807","https://openalex.org/W2085305295","https://openalex.org/W2096847629","https://openalex.org/W2124735141","https://openalex.org/W2134070140","https://openalex.org/W2139578439","https://openalex.org/W2147311421","https://openalex.org/W2155378438","https://openalex.org/W3136767761"],"related_works":["https://openalex.org/W2106474518","https://openalex.org/W2369534771","https://openalex.org/W3036013726","https://openalex.org/W2337148208","https://openalex.org/W2107592864","https://openalex.org/W1724519426","https://openalex.org/W1563027355","https://openalex.org/W2385236352","https://openalex.org/W1548126107","https://openalex.org/W2001107211"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":15}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
