{"id":"https://openalex.org/W7136182537","doi":"https://doi.org/10.1007/s10586-026-06064-2","title":"Task-scaled spiking neural networks with multi-stage feature selection for resource-constrained iot intrusion detection","display_name":"Task-scaled spiking neural networks with multi-stage feature selection for resource-constrained iot intrusion detection","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7136182537","doi":"https://doi.org/10.1007/s10586-026-06064-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-026-06064-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-026-06064-2","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s10586-026-06064-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129398577","display_name":"\u00d6zlem Batur Dinler","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"\u00d6zlem Batur Dinler","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5129398577"],"corresponding_institution_ids":[],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68418165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.2662000060081482,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.2662000060081482,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.16009999811649323,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.1454000025987625,"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/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6888999938964844},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6596999764442444},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5795999765396118},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5565999746322632},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.5292999744415283},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5029000043869019},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4530999958515167},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4480000138282776},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4422000050544739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8971999883651733},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6888999938964844},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5795999765396118},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.5292999744415283},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4903999865055084},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4530999958515167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4480000138282776},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4422000050544739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4320000112056732},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.35179999470710754},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-026-06064-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-026-06064-2","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10586-026-06064-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-026-06064-2","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.646959662437439,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F5293741267","display_name":"Siirt \u00dcniversitesi","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1998025025","https://openalex.org/W2018093805","https://openalex.org/W2118561568","https://openalex.org/W2118978333","https://openalex.org/W2138913040","https://openalex.org/W2167101736","https://openalex.org/W2783525259","https://openalex.org/W2787894218","https://openalex.org/W2798878556","https://openalex.org/W2963105378","https://openalex.org/W2991507433","https://openalex.org/W3032021129","https://openalex.org/W3157037691","https://openalex.org/W3201870057","https://openalex.org/W4226319939","https://openalex.org/W4245055982","https://openalex.org/W4311537484","https://openalex.org/W4319795491","https://openalex.org/W4321377727","https://openalex.org/W4386963944","https://openalex.org/W4391812155","https://openalex.org/W4393115034","https://openalex.org/W4393163862","https://openalex.org/W4402156654","https://openalex.org/W4404736400","https://openalex.org/W4407838649","https://openalex.org/W4410563905","https://openalex.org/W4411891403","https://openalex.org/W4412414539","https://openalex.org/W4412788400"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Distributed":[1],"IoT":[2],"systems":[3],"in":[4],"critical":[5],"infrastructure":[6],"demand":[7],"intrusion":[8,34,192],"detection":[9,13,163,193],"solutions":[10],"that":[11,185],"balance":[12],"accuracy":[14],"with":[15,50,167],"the":[16,37,77,91,195],"computational":[17,38],"constraints":[18],"of":[19,40,46,103,198],"edge":[20,70,199],"deployment.":[21,71,207],"This":[22],"study":[23],"presents":[24],"a":[25,165],"lightweight":[26],"Spiking":[27],"Neural":[28],"Network":[29],"(SNN)":[30],"framework":[31,73],"for":[32,132,139,204],"network":[33,121],"detection,":[35],"utilizing":[36],"properties":[39],"spike-based":[41],"processing":[42],"\u2014":[43,62],"namely,":[44],"replacement":[45],"multiply-accumulate":[47],"(MAC)":[48],"operations":[49,54],"sparse":[51],"accumulate":[52],"(AC)":[53],"and":[55,155,170,179],"input-adaptive":[56],"computation":[57],"through":[58,81],"natural":[59],"spike":[60],"sparsity":[61],"to":[63,68,96,113,123,134],"explore":[64],"neuromorphic-compatible":[65],"architectures":[66,119,188],"suited":[67],"resource-constrained":[69],"The":[72],"is":[74],"validated":[75],"on":[76],"Edge-IIoTset":[78],"dataset":[79],"[1]":[80],"five-fold":[82],"stratified":[83],"cross-validation.":[84],"A":[85],"multi-stage":[86],"feature":[87,116,180],"selection":[88],"pipeline":[89],"reduces":[90],"input":[92],"space":[93],"from":[94,127,176],"97":[95],"35":[97],"features":[98,105],"(63.9%":[99],"reduction),":[100],"including":[101],"removal":[102],"seven":[104],"exhibiting":[106],"strong":[107],"target":[108],"correlation":[109],"(|r|":[110],"&gt;":[111],"0.70)":[112],"promote":[114],"broader":[115],"diversity.":[117],"Task-scaled":[118],"match":[120],"capacity":[122],"classification":[124],"granularity,":[125],"ranging":[126],"9,342":[128],"parameters":[129,136],"(36.5":[130],"KB)":[131,138],"binary":[133,147],"51,347":[135],"(200.6":[137],"fifteen-class":[140,156],"classification.":[141],"Cross-validation":[142],"results":[143,183],"show":[144],"consistent":[145],"performance:":[146],"99.18%":[148],"(\u00b1":[149,153,158],"0.03%),":[150],"six-class":[151],"96.99%":[152],"0.11%),":[154],"96.79%":[157],"0.08%)":[159],"accuracy.":[160],"Minority":[161],"class":[162,177],"remains":[164],"limitation,":[166],"Fingerprinting":[168],"(54.04%)":[169],"Password":[171],"(59.46%)":[172],"recall":[173],"indicating":[174],"challenges":[175],"imbalance":[178],"overlap.":[181],"These":[182],"suggest":[184],"compact":[186],"spiking":[187],"can":[189],"provide":[190],"effective":[191],"within":[194],"memory":[196],"budgets":[197],"processors,":[200],"establishing":[201],"architectural":[202],"groundwork":[203],"future":[205],"neuromorphic":[206]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-17T00:00:00"}
