{"id":"https://openalex.org/W4408862104","doi":"https://doi.org/10.1109/icce63647.2025.10930094","title":"Security Enhancement in Consumer Enterprises Using Neural Nets Within the SIEM Framework","display_name":"Security Enhancement in Consumer Enterprises Using Neural Nets Within the SIEM Framework","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408862104","doi":"https://doi.org/10.1109/icce63647.2025.10930094"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10930094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5113185320","display_name":"Saksham Arora","orcid":null},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saksham Arora","raw_affiliation_strings":["Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070351055","display_name":"Sudhakar Kumar","orcid":"https://orcid.org/0000-0001-7928-4234"},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudhakar Kumar","raw_affiliation_strings":["Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045592311","display_name":"Sunil K. Singh","orcid":"https://orcid.org/0000-0003-4876-7190"},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil K. Singh","raw_affiliation_strings":["Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005877741","display_name":"Sahil Garg","orcid":"https://orcid.org/0000-0003-0229-608X"},"institutions":[{"id":"https://openalex.org/I860003557","display_name":"Punjab Engineering College","ror":"https://ror.org/00bsj2955","country_code":"IN","type":"education","lineage":["https://openalex.org/I860003557"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sahil Garg","raw_affiliation_strings":["Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Chandigarh College of Engineering and Technology,Chandigarh,India","institution_ids":["https://openalex.org/I860003557"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071261948","display_name":"Brij B. Gupta","orcid":"https://orcid.org/0000-0003-4929-4698"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Brij B. Gupta","raw_affiliation_strings":["Asia University,Department of Computer Science and Information Engineering,Taiwan"],"affiliations":[{"raw_affiliation_string":"Asia University,Department of Computer Science and Information Engineering,Taiwan","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101290033","display_name":"Shavi Bansal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shavi Bansal","raw_affiliation_strings":["Insights2Techinfo,India"],"affiliations":[{"raw_affiliation_string":"Insights2Techinfo,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwok Tai Chui","raw_affiliation_strings":["Hong Kong Metropolitan University,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Metropolitan University,Hong Kong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5113185320"],"corresponding_institution_ids":["https://openalex.org/I860003557"],"apc_list":null,"apc_paid":null,"fwci":1.5458,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81424281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.30399999022483826,"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":0.30399999022483826,"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/T10734","display_name":"Information and Cyber Security","score":0.298799991607666,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.5559247732162476},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.42914247512817383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41312775015830994},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.34183692932128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28423207998275757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5559247732162476},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.42914247512817383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41312775015830994},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.34183692932128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28423207998275757}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10930094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1971751469","https://openalex.org/W2886020981","https://openalex.org/W2937592706","https://openalex.org/W3043525693","https://openalex.org/W3112778273","https://openalex.org/W4213101073","https://openalex.org/W4244441343","https://openalex.org/W4321439690","https://openalex.org/W4321439723","https://openalex.org/W4390937982","https://openalex.org/W4391317756","https://openalex.org/W4392592726","https://openalex.org/W4399119443","https://openalex.org/W4411717488","https://openalex.org/W6791177569","https://openalex.org/W6862966747"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"internet":[1],"popularity":[2],"increasing":[3,80],"every":[4],"day":[5],"and":[6,18,43,52,54,70,105,113,142,153,172],"more":[7,45,59],"physical":[8],"activities":[9],"being":[10],"brought":[11],"to":[12,29,77,99,131,135],"the":[13,26,35,48,56,79,111,126,132,157,178,182],"online":[14],"spectrum,":[15],"Security":[16],"Information":[17],"Event":[19],"Management":[20],"(SIEM)":[21],"tools":[22],"have":[23],"emerged":[24],"as":[25],"main":[27],"way":[28,76],"tackle":[30,78],"any":[31],"threat":[32,106,118],"intrusions":[33],"in":[34,50],"network":[36,96,134,180],"infrastructure":[37],"of":[38,82,123],"organizations.":[39],"Threats":[40],"are":[41,73,167],"evolving":[42],"becoming":[44],"advanced":[46],"with":[47],"advancements":[49],"technology,":[51],"detecting":[53],"preventing":[55],"attacks":[57],"need":[58],"human":[60,83],"inter-vention":[61],"than":[62],"ever.":[63],"To":[64],"prevent":[65],"these":[66],"attacks,":[67],"artificial":[68],"intelligence":[69],"neural":[71,95,133,158,179],"networks":[72],"a":[74,89,94,101,117,124,150],"great":[75],"needs":[81],"intervention.":[84],"This":[85],"article,":[86],"thus,":[87],"proposes":[88,149],"novel":[90],"framework":[91,155],"that":[92,166],"uses":[93],"named":[97],"FeedForward":[98],"develop":[100],"model":[102],"for":[103,139],"anomaly":[104],"protection.":[107],"It":[108],"then":[109],"prompts":[110],"user":[112],"takes":[114],"input":[115],"when":[116],"is":[119,128],"detected.":[120],"On":[121,176],"confirmation":[122],"threat,":[125],"feedback":[127],"sent":[129],"back":[130],"train":[136],"itself":[137,144],"better":[138],"future":[140],"threats":[141],"keep":[143],"updated.":[145],"Therefore,":[146],"this":[147],"article":[148],"supervised":[151],"learning":[152],"retraining":[154],"on":[156,181],"network.":[159],"The":[160],"dataset":[161],"chosen":[162],"has":[163],"763,144":[164],"instances":[165],"divided":[168],"into":[169],"80%":[170],"training":[171],"20%":[173],"testing":[174],"dataset.":[175],"running":[177],"dataset,":[183],"we":[184],"achieved":[185],"an":[186],"astonishing":[187],"99.2%":[188],"accuracy.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}