{"id":"https://openalex.org/W2885999345","doi":"https://doi.org/10.1109/access.2018.2881561","title":"Intrusion Prediction With System-Call Sequence-to-Sequence Model","display_name":"Intrusion Prediction With System-Call Sequence-to-Sequence Model","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2885999345","doi":"https://doi.org/10.1109/access.2018.2881561","mag":"2885999345"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2881561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881561","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2881561","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101847678","display_name":"Shaohua Lv","orcid":"https://orcid.org/0000-0003-1886-5283"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Lv","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-1886-5283","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773357","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-2951-688X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085878897","display_name":"Yinqi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinqi Yang","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108529463","display_name":"Jiqiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqiang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2737,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.8921632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"71413","last_page":"71421"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.8315221667289734},{"id":"https://openalex.org/keywords/system-call","display_name":"System call","score":0.8181746602058411},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7713499069213867},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6892508268356323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.605845034122467},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5142492651939392},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.498948335647583},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.49151453375816345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790409803390503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47826850414276123},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.24923142790794373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315221667289734},{"id":"https://openalex.org/C2778579508","wikidata":"https://www.wikidata.org/wiki/Q722192","display_name":"System call","level":2,"score":0.8181746602058411},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7713499069213867},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6892508268356323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.605845034122467},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5142492651939392},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.498948335647583},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.49151453375816345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790409803390503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47826850414276123},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24923142790794373},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2881561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881561","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:763cb0b6ffe04b639216e25c1c9fb67d","is_oa":true,"landing_page_url":"https://doaj.org/article/763cb0b6ffe04b639216e25c1c9fb67d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 71413-71421 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2881561","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881561","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1924770834","https://openalex.org/W1967354722","https://openalex.org/W1981738628","https://openalex.org/W1996692344","https://openalex.org/W2064675550","https://openalex.org/W2076063813","https://openalex.org/W2088476668","https://openalex.org/W2092055714","https://openalex.org/W2101105183","https://openalex.org/W2107878631","https://openalex.org/W2119972750","https://openalex.org/W2125333248","https://openalex.org/W2130942839","https://openalex.org/W2131970275","https://openalex.org/W2132339004","https://openalex.org/W2133564696","https://openalex.org/W2133656308","https://openalex.org/W2150355110","https://openalex.org/W2150847526","https://openalex.org/W2152714487","https://openalex.org/W2157331557","https://openalex.org/W2167240430","https://openalex.org/W2169685348","https://openalex.org/W2551087083","https://openalex.org/W4285719527","https://openalex.org/W6673491250","https://openalex.org/W6678687978","https://openalex.org/W6679436768","https://openalex.org/W6682383139","https://openalex.org/W6898505805","https://openalex.org/W6927331436"],"related_works":["https://openalex.org/W1969635302","https://openalex.org/W2183313954","https://openalex.org/W2061466315","https://openalex.org/W2376886931","https://openalex.org/W1992118813","https://openalex.org/W2010561419","https://openalex.org/W3152476155","https://openalex.org/W2376046849","https://openalex.org/W2374845301","https://openalex.org/W2351448539"],"abstract_inverted_index":{"The":[0,154],"advanced":[1],"development":[2],"of":[3,24,39,61,90,94,131,145,151,186,193],"the":[4,37,91,105,138,143,149,158,177,182,191],"Internet":[5],"facilitates":[6],"efficient":[7],"information":[8],"exchange":[9],"while":[10],"also":[11],"been":[12,30],"exploited":[13],"by":[14],"adversaries.":[15],"Intrusion":[16],"detection":[17,172,195],"system":[18,146,187],"is":[19,43],"an":[20],"important":[21],"defense":[22],"component":[23],"network":[25,47],"security":[26,34],"that":[27,133,157],"has":[28],"always":[29],"widely":[31],"studied":[32],"in":[33,84,98,137,162],"research.":[35],"However,":[36,68],"research":[38,53],"intrusion":[40,110,171,194],"prediction,":[41],"which":[42,140],"more":[44],"critical":[45],"for":[46],"security,":[48],"received":[49],"less":[50],"attention.":[51],"General":[52],"methods":[54],"regarding":[55],"prediction":[56,111,123,126,150,159,167],"are":[57],"analyzing":[58],"short":[59],"term":[60],"system-calls":[62,132],"to":[63,75],"predict":[64],"forthcoming":[65],"abnormal":[66],"behaviors.":[67],"those":[69],"approaches":[70],"have":[71],"poor":[72],"accuracy":[73],"due":[74],"their":[76],"limited":[77],"sequence":[78,130],"dependency.":[79],"To":[80],"solve":[81],"this":[82,85,163],"problem,":[83],"paper,":[86],"we":[87,117],"take":[88],"advantage":[89],"remarkable":[92],"performance":[93,168,192],"recurrent":[95],"neural":[96],"networks":[97],"dealing":[99],"with":[100,181],"long":[101],"sequential":[102],"problems,":[103],"introducing":[104],"sequence-to-sequence":[106,122],"model":[107,127],"into":[108],"our":[109],"work.":[112],"By":[113],"semantically":[114],"modeling":[115],"system-calls,":[116],"build":[118],"a":[119,129],"robust":[120],"system-call":[121],"model.":[124],"Our":[125],"predicts":[128],"will":[134,141],"be":[135],"executed":[136],"future,":[139],"enable":[142],"monitoring":[144],"state":[147],"and":[148],"attack":[152],"behavior.":[153],"experiments":[155],"show":[156],"method":[160],"proposed":[161],"paper":[164],"achieved":[165],"well":[166],"on":[169,197],"ADFA-LD":[170],"test":[173],"data":[174],"set.":[175],"Moreover,":[176],"predicted":[178],"sequence,":[179],"combined":[180],"known":[183],"invoked":[184],"traces":[185],"call,":[188],"significantly":[189],"improves":[190],"verified":[196],"various":[198],"classifiers.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
