{"id":"https://openalex.org/W4407755785","doi":"https://doi.org/10.1145/3701047.3701058","title":"Research on network security spatial data asset protection technology based on deep learning","display_name":"Research on network security spatial data asset protection technology based on deep learning","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4407755785","doi":"https://doi.org/10.1145/3701047.3701058"},"language":"en","primary_location":{"id":"doi:10.1145/3701047.3701058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701047.3701058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd International Conference on Communication Networks and Machine Learning","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/A5081872356","display_name":"Li-Na CHEN","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lina Chen","raw_affiliation_strings":["Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,"],"affiliations":[{"raw_affiliation_string":"Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051593781","display_name":"Chunzhi Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunzhi Meng","raw_affiliation_strings":["Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,"],"affiliations":[{"raw_affiliation_string":"Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112966230","display_name":"Liang Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Meng","raw_affiliation_strings":["Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,"],"affiliations":[{"raw_affiliation_string":"Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113322721","display_name":"Siwei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Li","raw_affiliation_strings":["Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,"],"affiliations":[{"raw_affiliation_string":"Information Communication Branch of Guangxi Power Grid Company, Nanning, Guangxi, China,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081872356"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29308246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9175000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934715509414673},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.6614406108856201},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4826262891292572},{"id":"https://openalex.org/keywords/network-security","display_name":"Network security","score":0.42738014459609985},{"id":"https://openalex.org/keywords/data-security","display_name":"Data security","score":0.42350831627845764},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41572511196136475},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07378467917442322},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06145581603050232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934715509414673},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.6614406108856201},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4826262891292572},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.42738014459609985},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.42350831627845764},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41572511196136475},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07378467917442322},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06145581603050232},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701047.3701058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701047.3701058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd International Conference on Communication Networks and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2496567305","https://openalex.org/W3028197215","https://openalex.org/W4238806542"],"related_works":["https://openalex.org/W2347703430","https://openalex.org/W3148227991","https://openalex.org/W3001521712","https://openalex.org/W4210727352","https://openalex.org/W2380470746","https://openalex.org/W1486593826","https://openalex.org/W2092017824","https://openalex.org/W2134683619","https://openalex.org/W2029664475","https://openalex.org/W2360633292"],"abstract_inverted_index":{"In":[0,45],"the":[1,4,10,31,77,87,110,122,129],"digital":[2],"age,":[3],"protection":[5,25,78,130,148],"of":[6,80,89,114,131],"data":[7,23,70,81,94,132],"assets":[8],"in":[9,93],"enterprise":[11],"cybersecurity":[12],"space":[13],"has":[14],"become":[15],"critical.":[16],"This":[17],"paper":[18],"explores":[19],"a":[20,143],"deep":[21,48,90,123],"learning-based":[22],"asset":[24],"technique":[26],"that":[27,121],"aims":[28],"to":[29,64,108,141],"solve":[30],"challenges":[32],"encountered":[33],"by":[34],"traditional":[35,138],"network":[36,43,69,115,146],"security":[37,116,147],"technologies":[38],"when":[39],"dealing":[40],"with":[41,137],"complex":[42],"data.":[44],"this":[46],"study,":[47],"learning":[49,91,124],"models":[50],"such":[51],"as":[52],"Convolutional":[53],"Neural":[54,59],"Network":[55,60],"(CNN)":[56],"and":[57,67,100,104,112],"Recurrent":[58],"(RNN)":[61],"were":[62],"used":[63],"effectively":[65],"classify":[66],"identify":[68],"through":[71],"supervised":[72],"learning,":[73],"which":[74],"significantly":[75],"improved":[76],"efficiency":[79],"assets.":[82],"The":[83,118],"experimental":[84],"results":[85,119],"reveal":[86],"advantages":[88],"technology":[92],"feature":[95],"extraction,":[96],"unknown":[97],"attack":[98],"identification":[99],"abnormal":[101],"behavior":[102],"detection,":[103],"prove":[105],"its":[106],"potential":[107],"improve":[109],"accuracy":[111],"robustness":[113],"protection.":[117],"show":[120],"method":[125],"not":[126],"only":[127],"enhances":[128],"assets,":[133],"but":[134],"also":[135],"combines":[136],"defense":[139],"strategies":[140],"form":[142],"more":[144],"complete":[145],"system.":[149]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
