{"id":"https://openalex.org/W7117869136","doi":"https://doi.org/10.1109/milcom64451.2025.11310433","title":"PRNet: Packet Reconstruction Network with Domain-Aware Constraints","display_name":"PRNet: Packet Reconstruction Network with Domain-Aware Constraints","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W7117869136","doi":"https://doi.org/10.1109/milcom64451.2025.11310433"},"language":null,"primary_location":{"id":"doi:10.1109/milcom64451.2025.11310433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom64451.2025.11310433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM)","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/A5121741238","display_name":"Mark Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I137596753","display_name":"Eaton (Taiwan)","ror":"https://ror.org/01v23xq73","country_code":"TW","type":"company","lineage":["https://openalex.org/I137596753","https://openalex.org/I4210139942"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mark Cheung","raw_affiliation_strings":["Peraton Labs,NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peraton Labs,NJ","institution_ids":["https://openalex.org/I137596753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109412228","display_name":"Sridhar Venkatesan","orcid":null},"institutions":[{"id":"https://openalex.org/I137596753","display_name":"Eaton (Taiwan)","ror":"https://ror.org/01v23xq73","country_code":"TW","type":"company","lineage":["https://openalex.org/I137596753","https://openalex.org/I4210139942"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sridhar Venkatesan","raw_affiliation_strings":["Peraton Labs,NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peraton Labs,NJ","institution_ids":["https://openalex.org/I137596753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121704567","display_name":"Ritu Chadha","orcid":null},"institutions":[{"id":"https://openalex.org/I137596753","display_name":"Eaton (Taiwan)","ror":"https://ror.org/01v23xq73","country_code":"TW","type":"company","lineage":["https://openalex.org/I137596753","https://openalex.org/I4210139942"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ritu Chadha","raw_affiliation_strings":["Peraton Labs,NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peraton Labs,NJ","institution_ids":["https://openalex.org/I137596753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006514612","display_name":"Constantin Serban","orcid":"https://orcid.org/0009-0000-7259-9460"},"institutions":[{"id":"https://openalex.org/I137596753","display_name":"Eaton (Taiwan)","ror":"https://ror.org/01v23xq73","country_code":"TW","type":"company","lineage":["https://openalex.org/I137596753","https://openalex.org/I4210139942"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Constantin Serban","raw_affiliation_strings":["Peraton Labs,NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peraton Labs,NJ","institution_ids":["https://openalex.org/I137596753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137596753"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78007689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1554","last_page":"1559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.3589000105857849,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.3589000105857849,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.1941000074148178,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.14640000462532043,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.6010000109672546},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5684999823570251},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4814999997615814},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.44290000200271606},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.4311999976634979},{"id":"https://openalex.org/keywords/data-loss","display_name":"Data loss","score":0.41990000009536743},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4066999852657318},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38850000500679016},{"id":"https://openalex.org/keywords/protocol-data-unit","display_name":"Protocol data unit","score":0.36970001459121704},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.3610999882221222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683899998664856},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.6010000109672546},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4814999997615814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46299999952316284},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C21853045","wikidata":"https://www.wikidata.org/wiki/Q2634565","display_name":"Protocol data unit","level":3,"score":0.36970001459121704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.33079999685287476},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3224000036716461},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2574999928474426},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom64451.2025.11310433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom64451.2025.11310433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2295872724","https://openalex.org/W2875154903","https://openalex.org/W2926701059","https://openalex.org/W4388644524","https://openalex.org/W4393257744","https://openalex.org/W4401176274","https://openalex.org/W4408292685"],"related_works":[],"abstract_inverted_index":{"Fine-grained":[0],"network":[1,8,56,75,165],"traffic":[2],"data":[3,28,128,166],"is":[4],"essential":[5],"for":[6,22,118,157,173],"critical":[7],"operations":[9],"including":[10],"performance":[11],"monitoring,":[12],"forensic":[13],"analysis,":[14],"and":[15,78,111,151],"intrusion":[16],"detection.":[17],"However,":[18],"the":[19],"storage":[20],"requirements":[21],"long-term":[23],"retention":[24],"of":[25,55,107,146],"such":[26],"high-fidelity":[27],"present":[29,34],"significant":[30,93],"cost":[31],"challenges.":[32],"We":[33],"a":[35,68,80,98,112,144],"novel":[36],"machine":[37],"learning":[38,49],"model":[39],"called":[40],"PRNet":[41],"that":[42,73,84],"combines":[43],"formal":[44],"methods":[45],"with":[46,64,143],"neural":[47],"representation":[48],"to":[50,122],"generate":[51],"compact,":[52],"reconstructable":[53],"encodings":[54,120],"traffic.":[57],"Our":[58,161],"approach":[59,162],"employs":[60],"domain-constrained":[61],"autoencoders":[62],"enhanced":[63],"two":[65],"innovations:":[66],"(1)":[67],"Knowledge":[69],"Augmented":[70],"Loss":[71],"function":[72],"incorporates":[74],"protocol":[76],"semantics,":[77],"(2)":[79],"constraint":[81,134],"enforcement":[82],"module":[83,135],"preserves":[85],"logical":[86,141],"relationships":[87],"between":[88],"features.":[89],"Experimental":[90],"results":[91],"demonstrate":[92],"improvements":[94],"across":[95],"multiple":[96],"dimensions:":[97],"16.4%":[99],"average":[100],"gain":[101],"in":[102,115,148,154],"reconstruction":[103,116,171],"accuracy,":[104],"near-perfect":[105],"recovery":[106],"categorical":[108],"header":[109],"fields":[110],"39.1%":[113],"reduction":[114],"error":[117],"session-level":[119],"compared":[121],"packet-level":[123],"approaches":[124],"under":[125],"75%":[126],"missing":[127],"rate.":[129],"For":[130],"temporal":[131],"features,":[132],"our":[133],"eliminates":[136],"timestamp":[137],"violations":[138],"while":[139,168],"ensuring":[140],"consistency,":[142],"boost":[145],"73.8%":[147],"Spearman":[149],"correlation,":[150],"94.2%":[152],"drop":[153],"Wasserstein":[155],"distance":[156],"packet":[158],"interarrival":[159],"times.":[160],"enables":[163],"efficient":[164],"preservation":[167],"maintaining":[169],"high":[170],"quality":[172],"most":[174],"downstream":[175],"analytical":[176],"tasks,":[177],"though":[178],"some":[179],"numerical":[180],"features":[181],"remain":[182],"challenging.":[183]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-01T00:00:00"}
