{"id":"https://openalex.org/W4415969505","doi":"https://doi.org/10.1109/iecon58223.2025.11221502","title":"Research on Optimization Algorithms for Alarm Data Fusion of Multiple Network Security Situational Awareness Devices","display_name":"Research on Optimization Algorithms for Alarm Data Fusion of Multiple Network Security Situational Awareness Devices","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415969505","doi":"https://doi.org/10.1109/iecon58223.2025.11221502"},"language":null,"primary_location":{"id":"doi:10.1109/iecon58223.2025.11221502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","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/A5100427646","display_name":"Xiaomeng Li","orcid":"https://orcid.org/0000-0003-2129-1671"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Li","raw_affiliation_strings":["State Grid Information & Telecommunication Co., Ltd.,Cybersecurity Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information & Telecommunication Co., Ltd.,Cybersecurity Center,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757655","display_name":"Mengqi Liu","orcid":"https://orcid.org/0000-0002-2771-798X"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqi Liu","raw_affiliation_strings":["State Grid Information & Telecommunication Co., Ltd.,Cybersecurity Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information & Telecommunication Co., Ltd.,Cybersecurity Center,Beijing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuozai Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099020","display_name":"Beijing Biocytogen (China)","ror":"https://ror.org/01spyyb53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuozai Zheng","raw_affiliation_strings":["Beijing Hyetec Technology Co., Ltd,Algorithm Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Hyetec Technology Co., Ltd,Algorithm Center,Beijing,China","institution_ids":["https://openalex.org/I4210099020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009107275","display_name":"Tongshuai Zhang","orcid":"https://orcid.org/0000-0003-2046-9490"},"institutions":[{"id":"https://openalex.org/I4210099020","display_name":"Beijing Biocytogen (China)","ror":"https://ror.org/01spyyb53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongshuai Zhang","raw_affiliation_strings":["Beijing Hyetec Technology Co., Ltd,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Hyetec Technology Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210099020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.07490000128746033,"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":0.07490000128746033,"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":0.06610000133514404,"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/T13567","display_name":"AI and Multimedia in Education","score":0.04399999976158142,"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/situation-awareness","display_name":"Situation awareness","score":0.775600016117096},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5605999827384949},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4912000000476837},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.48890000581741333},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.46059998869895935},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.45660001039505005},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.39590001106262207},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.3671000003814697},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3359000086784363}],"concepts":[{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.775600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376999855041504},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.48890000581741333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47850000858306885},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.367000013589859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.353300005197525},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C14911803","wikidata":"https://www.wikidata.org/wiki/Q7532148","display_name":"Situation analysis","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2777230681","wikidata":"https://www.wikidata.org/wiki/Q7923820","display_name":"Vetting","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon58223.2025.11221502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon58223.2025.11221502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society","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":7,"referenced_works":["https://openalex.org/W2155926039","https://openalex.org/W2299147308","https://openalex.org/W2818789173","https://openalex.org/W2887371428","https://openalex.org/W3009091629","https://openalex.org/W4353044174","https://openalex.org/W4402670856"],"related_works":[],"abstract_inverted_index":{"As":[0],"the":[1,84,97,120,142,155,169,174,186,193],"process":[2,100],"of":[3,47,91,122,130,144,176,188,195],"digital":[4],"transformation":[5],"accelerates,":[6],"cybersecurity":[7,20],"defense":[8],"is":[9],"facing":[10],"increasingly":[11],"severe":[12],"challenges.":[13],"To":[14,153],"enhance":[15,179],"their":[16],"defensive":[17],"capabilities,":[18],"some":[19],"companies":[21],"have":[22,38],"adopted":[23],"a":[24,44,75,79,123,139],"collaborative":[25],"monitoring":[26],"strategy":[27],"using":[28],"multi-source":[29],"situational":[30],"awareness":[31],"devices.":[32],"However,":[33],"in":[34,95,141,149],"practical":[35],"applications,":[36],"they":[37],"encountered":[39],"prominent":[40],"issues":[41],"such":[42],"as":[43,117,119],"massive":[45],"volume":[46],"alert":[48,113,131],"data":[49,98],"and":[50,65,83,102,115,146,151,182,191],"high":[51],"false":[52],"alarm":[53],"rates.":[54],"In":[55],"response":[56],"to":[57,108,112,126],"this":[58,60,92],"problem,":[59],"study":[61],"proposes":[62],"an":[63,147],"innovative":[64],"optimized":[66],"algorithm":[67,70,93,170],"framework.":[68],"This":[69],"integrates":[71],"core":[72],"components":[73],"including":[74],"sliding":[76],"window":[77],"mechanism,":[78],"correlation":[80],"alignment":[81],"algorithm,":[82],"Dempster-Shafer":[85],"fusion":[86,129],"algorithm.":[87],"The":[88,164],"main":[89],"innovations":[90],"lie":[94],"bypassing":[96],"annotation":[99],"entirely":[101],"directly":[103],"applying":[104],"statistical":[105],"learning":[106],"methods":[107],"extract":[109],"features":[110],"related":[111],"credibility":[114],"attention-worthiness,":[116,183],"well":[118],"establishment":[121],"dual-matrix-driven":[124],"mechanism":[125],"achieve":[127],"intelligent":[128],"data.":[132],"Through":[133],"these":[134],"algorithmic":[135],"innovations,":[136],"it":[137],"achieves":[138],"reduction":[140],"number":[143,175],"alerts":[145],"improvement":[148],"accuracy":[150,181],"attention-worthiness.":[152],"verify":[154],"algorithm's":[156],"effectiveness,":[157],"researchers":[158],"selected":[159],"appropriate":[160],"subjects":[161],"for":[162],"experimentation.":[163],"experimental":[165],"results":[166],"demonstrate":[167],"that":[168],"can":[171],"significantly":[172],"compress":[173],"alerts,":[177],"substantially":[178],"detection":[180],"effectively":[184],"integrate":[185],"advantages":[187],"multi-device":[189],"monitoring,":[190],"expand":[192],"coverage":[194],"security":[196],"defense.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-06T00:00:00"}