{"id":"https://openalex.org/W1973841765","doi":"https://doi.org/10.1142/s0218213006003028","title":"ON THE LEARNING OF SYSTEM CALL ATTRIBUTES FOR HOST-BASED ANOMALY DETECTION","display_name":"ON THE LEARNING OF SYSTEM CALL ATTRIBUTES FOR HOST-BASED ANOMALY DETECTION","publication_year":2006,"publication_date":"2006-12-01","ids":{"openalex":"https://openalex.org/W1973841765","doi":"https://doi.org/10.1142/s0218213006003028","mag":"1973841765"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213006003028","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213006003028","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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":"https://openalex.org/A5006658463","display_name":"Gaurav Tandon","orcid":null},"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":true,"raw_author_name":"GAURAV TANDON","raw_affiliation_strings":["Department of Computer Sciences, Florida Institute of Technology, 150 W. University Blvd., Melbourne, Florida 32901, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Florida Institute of Technology, 150 W. University Blvd., Melbourne, Florida 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]},{"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":"PHILIP K. CHAN","raw_affiliation_strings":["Department of Computer Sciences, Florida Institute of Technology, 150 W. University Blvd., Melbourne, Florida 32901, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Florida Institute of Technology, 150 W. University Blvd., Melbourne, Florida 32901, USA","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006658463"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":null,"apc_paid":null,"fwci":2.1125,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.87949996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"06","first_page":"875","last_page":"892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9977999925613403,"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/system-call","display_name":"System call","score":0.878042459487915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8755598068237305},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.7329360246658325},{"id":"https://openalex.org/keywords/host","display_name":"Host (biology)","score":0.714970588684082},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.691604733467102},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6843112111091614},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6725959181785583},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6252756714820862},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5222988128662109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48213693499565125},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44995951652526855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3910198211669922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36265769600868225},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2750372886657715},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0874820351600647}],"concepts":[{"id":"https://openalex.org/C2778579508","wikidata":"https://www.wikidata.org/wiki/Q722192","display_name":"System call","level":2,"score":0.878042459487915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8755598068237305},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.7329360246658325},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.714970588684082},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.691604733467102},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6843112111091614},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6725959181785583},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6252756714820862},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5222988128662109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48213693499565125},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44995951652526855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3910198211669922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36265769600868225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2750372886657715},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0874820351600647},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213006003028","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213006003028","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W34732858","https://openalex.org/W1634927171","https://openalex.org/W1832277845","https://openalex.org/W1999427165","https://openalex.org/W2028903194","https://openalex.org/W2113641473","https://openalex.org/W2128217000","https://openalex.org/W2129860818","https://openalex.org/W2135143063","https://openalex.org/W2143776233","https://openalex.org/W2147191819","https://openalex.org/W2166559705","https://openalex.org/W2166657964"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2808001300","https://openalex.org/W1548771250","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W11100131","https://openalex.org/W2385758958","https://openalex.org/W3210364259","https://openalex.org/W4300558037"],"abstract_inverted_index":{"Traditional":[0],"host-based":[1],"anomaly":[2],"detection":[3],"systems":[4,62],"model":[5],"normal":[6],"behavior":[7],"of":[8,52,71],"applications":[9],"by":[10],"analyzing":[11],"system":[12,54,76],"call":[13,55,77],"sequences.":[14],"The":[15],"current":[16],"sequence":[17],"is":[18,45],"then":[19],"examined":[20],"(using":[21],"the":[22,48,53],"model)":[23],"for":[24,75,88],"anomalous":[25],"behavior,":[26],"which":[27],"could":[28],"correspond":[29],"to":[30,38,65],"attacks.":[31],"Though":[32],"these":[33],"techniques":[34],"have":[35],"been":[36],"shown":[37],"be":[39,85],"quite":[40],"effective,":[41],"a":[42],"key":[43],"element":[44],"missing":[46],"\u2013":[47],"inclusion":[49],"and":[50,99],"utilization":[51],"arguments.":[56,78],"Recent":[57],"research":[58],"shows":[59],"that":[60,81],"sequence-based":[61,94],"are":[63],"prone":[64],"evasion.":[66],"We":[67],"propose":[68],"an":[69],"idea":[70],"learning":[72],"different":[73],"representations":[74],"Results":[79],"indicate":[80],"this":[82],"information":[83],"can":[84],"effectively":[86],"used":[87],"detecting":[89],"more":[90],"attacks":[91],"than":[92],"traditional":[93],"techniques,":[95],"with":[96],"reasonable":[97],"storage":[98],"computational":[100],"overhead.":[101]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}