{"id":"https://openalex.org/W3045966226","doi":"https://doi.org/10.1145/3409073.3409096","title":"A method of intrusion detection based on Attention-LSTM neural network","display_name":"A method of intrusion detection based on Attention-LSTM neural network","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3045966226","doi":"https://doi.org/10.1145/3409073.3409096","mag":"3045966226"},"language":"en","primary_location":{"id":"doi:10.1145/3409073.3409096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409073.3409096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Machine Learning Technologies","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/A5035014874","display_name":"Shuaichuang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaichuang Yang","raw_affiliation_strings":["School of Computer Science, University of South China, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102187270","display_name":"Minsheng Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minsheng Tan","raw_affiliation_strings":["School of Computer Science, University of South China, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071839053","display_name":"Shiying Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiying Xia","raw_affiliation_strings":["School of Computer Science, University of South China, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071178779","display_name":"Fangju Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangju Liu","raw_affiliation_strings":["School of Computer Science, University of South China, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91935597"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"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":0.9986000061035156,"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":0.9961000084877014,"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":0.849806547164917},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7872451543807983},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6445249319076538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170967221260071},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5846767425537109},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5770422220230103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5365339517593384},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5305341482162476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49131932854652405},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.43350645899772644},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.42283695936203003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38952839374542236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37720412015914917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.849806547164917},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7872451543807983},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6445249319076538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170967221260071},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5846767425537109},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5770422220230103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5365339517593384},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5305341482162476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49131932854652405},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.43350645899772644},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.42283695936203003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38952839374542236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37720412015914917},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409073.3409096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409073.3409096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Machine Learning Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2138650149","https://openalex.org/W2335999708","https://openalex.org/W2340896621","https://openalex.org/W2783741806","https://openalex.org/W2793758704","https://openalex.org/W2946231165","https://openalex.org/W6603394118"],"related_works":["https://openalex.org/W2380006768","https://openalex.org/W2982280075","https://openalex.org/W2374211671","https://openalex.org/W2348846906","https://openalex.org/W2012447829","https://openalex.org/W2587538742","https://openalex.org/W2022050244","https://openalex.org/W4319224347","https://openalex.org/W2598811698","https://openalex.org/W3045966226"],"abstract_inverted_index":{"Recently,":[0],"network":[1,36,80,141],"attacks":[2],"with":[3,113],"complex":[4],"types":[5],"have":[6],"occurred":[7],"more":[8],"frequently":[9],"than":[10],"before,":[11],"and":[12,81,126,137,156],"traditional":[13],"detection":[14,25,143,162],"algorithms":[15],"cannot":[16],"meet":[17],"current":[18],"needs.":[19],"For":[20],"this":[21],"reason,":[22],"an":[23],"intrusion":[24,63,142,161],"method":[26,40,130],"based":[27],"on":[28],"Attention-":[29],"Long":[30,76],"Short":[31,77],"Term":[32,78],"Memory":[33,79],"(LSTM)":[34],"neural":[35],"is":[37,110],"proposed.":[38],"This":[39],"combines":[41],"the":[42,45,51,54,66,71,75,90,98,107,114,129,134,147],"advantage":[43],"of":[44,53,74,100,140],"attention":[46,58],"mechanism":[47],"theory":[48],"to":[49,56,59,87,96],"solve":[50],"problem":[52],"inability":[55],"pay":[57],"key":[60],"attributes":[61],"in":[62],"detection.":[64],"At":[65],"same":[67],"time,":[68],"it":[69],"uses":[70],"memory":[72],"function":[73],"powerful":[82],"series":[83],"data":[84,92],"learning":[85],"ability":[86],"learn.":[88],"Finally,":[89],"KDD-CUP99":[91],"sets":[93],"are":[94],"used":[95],"test":[97],"performance":[99],"attention-LSTM.":[101],"The":[102],"experiment":[103],"results":[104],"show":[105],"that":[106],"proposed":[108],"algorithm":[109],"efficient.":[111],"Compare":[112],"classical":[115],"Convolutional":[116],"Neural":[117,122],"Networks":[118],"(CNN)":[119],"algorithm,":[120,125,128],"Recurrent":[121],"Network":[123],"(RNN)":[124],"LSTM":[127],"not":[131],"only":[132],"improves":[133],"accuracy":[135],"rate":[136,139],"precision":[138],"but":[144],"also":[145],"decreases":[146],"false":[148],"alarm":[149],"rate.":[150],"It":[151],"provides":[152],"a":[153],"design":[154],"basis":[155],"technical":[157],"support":[158],"for":[159],"future":[160],"technology.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
