{"id":"https://openalex.org/W7116839316","doi":"https://doi.org/10.1109/isc266238.2025.11293271","title":"Privacy-Aware Multi-Class Intrusion Detection Using Federated Neural Encoding and Robust Feature Distillation","display_name":"Privacy-Aware Multi-Class Intrusion Detection Using Federated Neural Encoding and Robust Feature Distillation","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W7116839316","doi":"https://doi.org/10.1109/isc266238.2025.11293271"},"language":null,"primary_location":{"id":"doi:10.1109/isc266238.2025.11293271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc266238.2025.11293271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Smart Cities Conference (ISC2)","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/A5121095875","display_name":"Pratiksh Khakhariya","orcid":null},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pratiksh Khakhariya","raw_affiliation_strings":["Marwadi University,Department of Computer Engineering,Rajkot,India"],"affiliations":[{"raw_affiliation_string":"Marwadi University,Department of Computer Engineering,Rajkot,India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116146575","display_name":"Nilkanth Kumar Kanjariya","orcid":null},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilkanth Kanjariya","raw_affiliation_strings":["Marwadi University,Department of Computer Engineering,Rajkot,India"],"affiliations":[{"raw_affiliation_string":"Marwadi University,Department of Computer Engineering,Rajkot,India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075804313","display_name":"Anjali Diwan","orcid":"https://orcid.org/0000-0002-2322-7780"},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Diwan","raw_affiliation_strings":["Marwadi University,Department of Computer Engineering,Rajkot,India"],"affiliations":[{"raw_affiliation_string":"Marwadi University,Department of Computer Engineering,Rajkot,India","institution_ids":["https://openalex.org/I3132999081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5121095875"],"corresponding_institution_ids":["https://openalex.org/I3132999081"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62758713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.24639999866485596,"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"}},"topics":[{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.24639999866485596,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.13539999723434448,"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":0.1234000027179718,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5185999870300293},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5091999769210815},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4537000060081482},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40560001134872437},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.3776000142097473},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.36980000138282776},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3587999939918518},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.35589998960494995},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3497999906539917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907999753952026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.524399995803833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4406999945640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41920000314712524},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3221000134944916},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc266238.2025.11293271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc266238.2025.11293271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5896517634391785}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W4313891707","https://openalex.org/W4317810332","https://openalex.org/W4318824470","https://openalex.org/W4319316768","https://openalex.org/W4320080928","https://openalex.org/W4378882744","https://openalex.org/W4384834994","https://openalex.org/W4385429541","https://openalex.org/W4385679709","https://openalex.org/W4386633929","https://openalex.org/W4387704557","https://openalex.org/W4388704564","https://openalex.org/W4388764143","https://openalex.org/W4390551616","https://openalex.org/W4399728346","https://openalex.org/W4406658513"],"related_works":[],"abstract_inverted_index":{"The":[0],"exponential":[1],"proliferation":[2],"of":[3,12,52,127,132],"interconnected":[4],"IoT":[5,48],"devices":[6,64],"has":[7],"dramatically":[8],"increased":[9],"the":[10,24,33,47,55,146],"complexity":[11],"cyber":[13],"security,":[14],"making":[15],"vast":[16],"surfaces":[17],"unsafe":[18],"for":[19],"distributed":[20],"attacks.":[21,134],"To":[22],"address":[23],"need":[25],"to":[26,42,142,159],"detect":[27,43,143],"data":[28],"secrecy":[29],"and":[30,86,110,116,155],"accurate":[31],"threats,":[32],"task":[34],"presents":[35],"a":[36,89,138],"scalable,":[37],"privacy-protection":[38],"intensive":[39],"learning":[40],"structure":[41],"multi-class":[44],"infiltration":[45,144],"in":[46],"network.":[49],"Taking":[50],"advantage":[51],"federated":[53,152],"learning,":[54],"proposed":[56],"system":[57],"enables":[58],"decentralized":[59],"model":[60,106],"training":[61],"on":[62,97],"edge":[63,163],"without":[65],"transferring":[66],"raw":[67],"data,":[68],"ensuring":[69],"privacy":[70],"while":[71],"benefiting":[72],"from":[73],"collaborative":[74],"intelligence.":[75,164],"Using":[76],"UNB":[77],"CICIoT":[78],"2023":[79],"dataset,":[80],"including":[81],"various":[82],"real-world":[83],"attack":[84],"landscapes":[85],"benign":[87],"traffic,":[88],"fully":[90],"connected":[91],"neural":[92,153],"network":[93],"is":[94],"locally":[95],"trained":[96],"each":[98],"node,":[99],"synchronized":[100],"through":[101],"federal":[102],"average":[103],"with":[104,124],"global":[105],"updates.":[107],"Rigorous":[108],"pre-proclamation":[109],"convenience":[111],"generalization":[112],"support":[113],"improvement":[114],"convergence":[115],"generalization.":[117],"Experimental":[118],"results":[119],"display":[120],"strong":[121],"classification":[122],"performance":[123],"test":[125],"accuracy":[126],"95.06%,":[128],"effectively":[129],"identify":[130],"types":[131],"common":[133],"This":[135],"approach":[136],"provides":[137],"strong,":[139],"reliable":[140],"solution":[141],"into":[145],"smart":[147],"city":[148],"infrastructure,":[149],"which":[150],"combines":[151],"encoding":[154],"deep":[156],"feature":[157],"distillation":[158],"carry":[160],"forward":[161],"safe":[162]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-12-23T00:00:00"}
