{"id":"https://openalex.org/W4393208087","doi":"https://doi.org/10.1145/3640115.3640189","title":"Research on Network Security Technology Based on Machine Learning","display_name":"Research on Network Security Technology Based on Machine Learning","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4393208087","doi":"https://doi.org/10.1145/3640115.3640189"},"language":"en","primary_location":{"id":"doi:10.1145/3640115.3640189","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640115.3640189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","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/A5029677250","display_name":"Fei Han","orcid":"https://orcid.org/0009-0007-3495-5381"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Han","raw_affiliation_strings":["School of Cyberspace Security, Qufu Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Qufu Normal University, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029677250"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26004099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"461"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9962000250816345,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.6769987344741821},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.47840484976768494},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39172810316085815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3864757716655731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769987344741821},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.47840484976768494},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39172810316085815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3864757716655731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640115.3640189","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640115.3640189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","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":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2755146079","https://openalex.org/W2891214000","https://openalex.org/W3048313003","https://openalex.org/W3101894954","https://openalex.org/W3102259344","https://openalex.org/W3118241656","https://openalex.org/W3192184909","https://openalex.org/W3198511875","https://openalex.org/W3214282743","https://openalex.org/W4246949166"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2360633292"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,7,9,32,52,72,78,83,89,105,112,117,121,125,128,142,146,158,162,169],"popularization":[5],"of":[6,16,54,69,82,111,124,134,154,161,171],"Internet,":[8],"network":[10,34,183],"has":[11,22],"penetrated":[12],"into":[13],"all":[14],"aspects":[15],"individuals":[17],"and":[18,29,42,49,60,95,120,157],"society.":[19],"Internet":[20],"technology":[21],"made":[23],"people's":[24],"daily":[25],"lives":[26],"more":[27],"intelligent":[28],"convenient,":[30],"but":[31],"accompanying":[33],"security":[35],"issues":[36],"cannot":[37],"be":[38],"ignored.":[39],"Network":[40],"vulnerabilities":[41],"illegal":[43],"intrusions":[44,152],"can":[45],"affect":[46,51],"internet":[47],"security,":[48],"even":[50,61],"construction":[53],"national":[55],"infrastructure,":[56],"critical":[57],"defense":[58],"systems,":[59],"military":[62],"systems.":[63],"This":[64],"article":[65],"selects":[66],"50000":[67],"sets":[68,133],"data":[70,115,126,135],"from":[71],"KDD99":[73],"cybersecurity":[74],"dataset":[75,90],"provided":[76,180],"by":[77],"National":[79],"Security":[80],"Administration":[81],"United":[84],"States.":[85],"Each":[86],"sample":[87,114],"in":[88],"includes":[91],"41":[92],"feature":[93],"attributes":[94],"1":[96],"decision":[97],"attribute.":[98],"We":[99],"constructed":[100],"a":[101],"model":[102,139,148,178],"based":[103],"on":[104],"random":[106],"forest":[107],"algorithm,":[108],"using":[109],"30%":[110],"total":[113],"as":[116,127],"test":[118,163],"set":[119,164],"remaining":[122],"70%":[123],"training":[129,143],"set.":[130],"Then,":[131],"100":[132,155],"were":[136],"taken":[137],"for":[138,181],"training.":[140],"After":[141],"was":[144,165],"completed,":[145],"detection":[147],"successfully":[149],"predicted":[150],"98":[151],"out":[153],"detections,":[156],"final":[159],"score":[160],"0.982,":[166],"basically":[167],"achieving":[168],"effect":[170],"intrusion":[172],"detection.":[173],"A":[174],"machine":[175],"learning":[176],"algorithm":[177],"is":[179],"detecting":[182],"intrusions.":[184]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}