{"id":"https://openalex.org/W7162085285","doi":"https://doi.org/10.1109/percom67906.2026.11524508","title":"HoSig-Align I: Edge-Native Threat Attribution using Homology Blocks in IoT-Pervasive Networks","display_name":"HoSig-Align I: Edge-Native Threat Attribution using Homology Blocks in IoT-Pervasive Networks","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7162085285","doi":"https://doi.org/10.1109/percom67906.2026.11524508"},"language":null,"primary_location":{"id":"doi:10.1109/percom67906.2026.11524508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom67906.2026.11524508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Pervasive Computing and Communications (PerCom)","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/A5005725875","display_name":"Aiting Yao","orcid":"https://orcid.org/0000-0001-5604-1598"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiting Yao","raw_affiliation_strings":["Pengcheng Laboratory,Department of New Networks,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Department of New Networks,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136770867","display_name":"Shantanu Pal","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shantanu Pal","raw_affiliation_strings":["Deakin University,School of Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deakin University,School of Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027311611","display_name":"Chengzu Dong","orcid":"https://orcid.org/0000-0001-6332-7041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengzu Dong","raw_affiliation_strings":["Lingnan University,School of Data Science,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lingnan University,School of Data Science,Hong Kong,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069420476","display_name":"Di Shao","orcid":"https://orcid.org/0000-0002-8949-2931"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Shao","raw_affiliation_strings":["Pengcheng Laboratory,Department of New Networks,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Department of New Networks,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136790875","display_name":"Wenying Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Feng","raw_affiliation_strings":["Pengcheng Laboratory,Department of New Networks,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Department of New Networks,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772026","display_name":"Ruonan Li","orcid":"https://orcid.org/0000-0002-9295-7322"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruonan Li","raw_affiliation_strings":["Pengcheng Laboratory,Department of New Networks,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Department of New Networks,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136771382","display_name":"Zhaoquan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoquan Gu","raw_affiliation_strings":["Pengcheng Laboratory,Department of New Networks,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,Department of New Networks,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"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":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.19859999418258667,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.19859999418258667,"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/T11424","display_name":"Security and Verification in Computing","score":0.09260000288486481,"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/T14347","display_name":"Big Data and Digital Economy","score":0.06859999895095825,"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/homology","display_name":"Homology (biology)","score":0.267300009727478},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.24660000205039978},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2320999950170517},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.22130000591278076},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.21359999477863312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5259000062942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4803999960422516},{"id":"https://openalex.org/C165525559","wikidata":"https://www.wikidata.org/wiki/Q224180","display_name":"Homology (biology)","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.24660000205039978},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23579999804496765},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2320999950170517},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.22130000591278076},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.21359999477863312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2045000046491623},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.20309999585151672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom67906.2026.11524508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom67906.2026.11524508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4683355391025543}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1848868872","https://openalex.org/W2136708625","https://openalex.org/W2152449272","https://openalex.org/W2170936641","https://openalex.org/W2992858548","https://openalex.org/W3017323935","https://openalex.org/W3044439675","https://openalex.org/W3047249784","https://openalex.org/W3133542152","https://openalex.org/W3147182738","https://openalex.org/W3165577760","https://openalex.org/W3172155345","https://openalex.org/W3203176266","https://openalex.org/W3205251672","https://openalex.org/W3217136206","https://openalex.org/W4206331418","https://openalex.org/W4206374498","https://openalex.org/W4220900646","https://openalex.org/W4367016885","https://openalex.org/W4377971463","https://openalex.org/W4381330367","https://openalex.org/W4382516701","https://openalex.org/W4386394305","https://openalex.org/W4393344893","https://openalex.org/W4393972898","https://openalex.org/W4400392117","https://openalex.org/W4401567681","https://openalex.org/W4403390233","https://openalex.org/W7133226935"],"related_works":[],"abstract_inverted_index":{"A":[0,81],"primary":[1],"challenge":[2],"in":[3,20],"network":[4,35,143],"defense":[5],"is":[6,85,104,126],"to":[7,37,77,95],"mine":[8],"potential":[9],"attack":[10,151],"campaigns":[11],"from":[12,62],"massive,":[13],"continuously":[14],"arriving":[15],"alerts":[16],"and":[17,51,111,119,154,157,165],"telemetry":[18],"data":[19],"real":[21,142],"time.":[22],"This":[23],"paper":[24],"presents":[25],"HoSig-Align":[26,147],"I,":[27],"an":[28,88],"edge":[29,169],"side":[30],"unsupervised":[31],"method":[32],"designed":[33],"for":[34,136,168],"streams":[36,144],"discover":[38],"homologous":[39,114],"blocks.":[40],"Our":[41],"approach":[42],"innovatively":[43],"fuses":[44],"heterogeneous":[45],"features":[46],"like":[47],"Internet":[48],"Protocol":[49],"(IP)":[50],"Payload":[52],"into":[53,108,128],"a":[54,68,96,129],"unified":[55],"representation":[56],"while":[57,162],"strictly":[58],"excluding":[59],"temporal":[60,79],"information":[61],"it,":[63],"only":[64],"incorporating":[65],"time":[66,70],"via":[67],"dual":[69],"scale":[71],"decay":[72],"model":[73],"during":[74],"graph":[75],"construction":[76],"capture":[78],"proximity.":[80],"density":[82],"robust":[83],"similarity":[84],"computed":[86],"using":[87],"isolation":[89],"style":[90],"random":[91],"partition":[92],"forest,":[93],"leading":[94],"sparse":[97],"k-Nearest":[98],"Neighbors":[99],"(k-NN)":[100],"graph.":[101],"The":[102],"stream":[103],"then":[105],"accurately":[106],"segmented":[107],"internally":[109],"cohesive":[110],"mutually":[112],"isolated":[113],"blocks":[115,153],"through":[116],"spectral":[117],"ordering":[118],"contrastive":[120],"change":[121],"point":[122],"detection.":[123],"Each":[124],"block":[125],"encoded":[127],"lightweight":[130],"HoSig":[131],"signature,":[132],"forming":[133],"the":[134],"basis":[135],"cross":[137],"organizational":[138],"collaboration.":[139],"Experiments":[140],"on":[141],"show":[145],"that":[146],"I":[148],"identifies":[149],"coherent":[150],"campaign":[152],"improves":[155],"separation":[156],"boundary":[158],"clarity":[159],"over":[160],"baselines,":[161],"meeting":[163],"low-latency":[164],"low-overhead":[166],"requirements":[167],"processing.":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-23T00:00:00"}