{"id":"https://openalex.org/W3204038049","doi":"https://doi.org/10.1145/3467707.3467759","title":"Industrial Intrusion Detection Technology Based on One-dimensional Multi-scale Residual Network","display_name":"Industrial Intrusion Detection Technology Based on One-dimensional Multi-scale Residual Network","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3204038049","doi":"https://doi.org/10.1145/3467707.3467759","mag":"3204038049"},"language":"en","primary_location":{"id":"doi:10.1145/3467707.3467759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-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/A5110806712","display_name":"Kong De Peng","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":true,"raw_author_name":"Kong De Peng","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061526892","display_name":"Ye Du","orcid":"https://orcid.org/0000-0003-1791-8275"},"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":"Du Ye","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037215929","display_name":"Li Mei Hong","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":"Li Mei Hong","raw_affiliation_strings":["Beijing Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057428087","display_name":"Li Gui Ling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Gui Ling","raw_affiliation_strings":["National Education Examinations Authority, China"],"affiliations":[{"raw_affiliation_string":"National Education Examinations Authority, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110806712"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69150846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9958999752998352,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/residual","display_name":"Residual","score":0.8941127061843872},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6829324960708618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6289309859275818},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5748346447944641},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5081548690795898},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5034012198448181},{"id":"https://openalex.org/keywords/industrial-control-system","display_name":"Industrial control system","score":0.4888879358768463},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.47273221611976624},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46947774291038513},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4312959909439087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3744705319404602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31443753838539124},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.23959603905677795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12831655144691467}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8941127061843872},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6829324960708618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289309859275818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5748346447944641},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5081548690795898},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5034012198448181},{"id":"https://openalex.org/C40071531","wikidata":"https://www.wikidata.org/wiki/Q2513962","display_name":"Industrial control system","level":3,"score":0.4888879358768463},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.47273221611976624},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46947774291038513},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4312959909439087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3744705319404602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31443753838539124},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.23959603905677795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12831655144691467},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1145/3467707.3467759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1977838479","https://openalex.org/W2052387539","https://openalex.org/W2183341477","https://openalex.org/W2382433963","https://openalex.org/W2541771484","https://openalex.org/W2793758704","https://openalex.org/W2964200838","https://openalex.org/W3179321675","https://openalex.org/W4234713688"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2729981612","https://openalex.org/W2355007334","https://openalex.org/W3084463301"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,70,86],"solve":[3],"the":[4,7,18,23,35,47,56,72,88,96,104,113,118],"problem":[5],"that":[6,95],"traditional":[8],"intrusion":[9,30,114],"detection":[10,24,31,115],"algorithm":[11,32],"cannot":[12],"learn":[13,71],"more":[14],"information":[15,74],"based":[16,33],"on":[17,34],"traffic":[19],"data":[20,51],"effectively":[21,111],"and":[22,79,103],"accuracy":[25,97],"is":[26,44,52,68,84,101,107],"not":[27],"ideal,":[28],"an":[29],"one-dimensional":[36,62],"multi-scale":[37,63],"residual":[38,64],"network":[39,66],"for":[40],"industrial":[41,76,119],"control":[42,77,120],"systems":[43],"proposed.":[45],"Firstly,":[46],"nondimensionalization":[48],"of":[49,75,98],"input":[50],"realized":[53,85],"by":[54],"defining":[55],"centrosymmetric":[57],"logarithmic":[58],"function.":[59],"Then,":[60],"a":[61],"neural":[65],"model":[67],"constructed":[69],"characteristic":[73],"data,":[78],"through":[80],"cross-validation,":[81],"parameter":[82],"tuning":[83],"obtain":[87],"best":[89],"model.":[90],"The":[91],"experimental":[92],"results":[93],"show":[94],"this":[99],"method":[100],"98.99%":[102],"AUC":[105],"score":[106],"0.9984,":[108],"which":[109],"can":[110],"realize":[112],"function":[116],"under":[117],"system.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
