{"id":"https://openalex.org/W3216739690","doi":"https://doi.org/10.1109/nof52522.2021.9609828","title":"Building Efficient Regular Expression Matchers Through GA Optimization With ML Surrogates","display_name":"Building Efficient Regular Expression Matchers Through GA Optimization With ML Surrogates","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3216739690","doi":"https://doi.org/10.1109/nof52522.2021.9609828","mag":"3216739690"},"language":"en","primary_location":{"id":"doi:10.1109/nof52522.2021.9609828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nof52522.2021.9609828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Network of the Future (NoF)","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/A5043053285","display_name":"Jonathan Hillblom","orcid":null},"institutions":[{"id":"https://openalex.org/I43968019","display_name":"Karlstad University","ror":"https://ror.org/05s754026","country_code":"SE","type":"education","lineage":["https://openalex.org/I43968019"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Jonathan Hillblom","raw_affiliation_strings":["Dept. of Mathematics and Comp. Sci., Karlstad University, Karlstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Comp. Sci., Karlstad University, Karlstad, Sweden","institution_ids":["https://openalex.org/I43968019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018078","display_name":"Johan Garcia","orcid":"https://orcid.org/0000-0003-3461-7079"},"institutions":[{"id":"https://openalex.org/I43968019","display_name":"Karlstad University","ror":"https://ror.org/05s754026","country_code":"SE","type":"education","lineage":["https://openalex.org/I43968019"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Garcia","raw_affiliation_strings":["Dept. of Mathematics and Comp. Sci., Karlstad University, Karlstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Comp. Sci., Karlstad University, Karlstad, Sweden","institution_ids":["https://openalex.org/I43968019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049071227","display_name":"Anders Waldenborg","orcid":null},"institutions":[{"id":"https://openalex.org/I130375150","display_name":"Sandvik (Sweden)","ror":"https://ror.org/00qp5gr06","country_code":"SE","type":"company","lineage":["https://openalex.org/I130375150"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Anders Waldenborg","raw_affiliation_strings":["Sandvine, Malm\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Sandvine, Malm\u00f6, Sweden","institution_ids":["https://openalex.org/I130375150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043053285"],"corresponding_institution_ids":["https://openalex.org/I43968019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19091196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.7067708373069763},{"id":"https://openalex.org/keywords/regular-expression","display_name":"Regular expression","score":0.7030560970306396},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5879555940628052},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5359538197517395},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5143479108810425},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4776412546634674},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4659479856491089},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4631158113479614},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4480675160884857},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44417673349380493},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4215485751628876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3798239827156067},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33777758479118347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.324271559715271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2784518301486969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14121225476264954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067708373069763},{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.7030560970306396},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5879555940628052},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5359538197517395},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5143479108810425},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4776412546634674},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4659479856491089},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4631158113479614},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4480675160884857},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44417673349380493},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4215485751628876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798239827156067},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33777758479118347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.324271559715271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2784518301486969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14121225476264954},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nof52522.2021.9609828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nof52522.2021.9609828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Network of the Future (NoF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W24635804","https://openalex.org/W27366642","https://openalex.org/W40073550","https://openalex.org/W194509233","https://openalex.org/W206076071","https://openalex.org/W1570445666","https://openalex.org/W1657437430","https://openalex.org/W1851452060","https://openalex.org/W1978264569","https://openalex.org/W1993062444","https://openalex.org/W2002784428","https://openalex.org/W2011039300","https://openalex.org/W2022407883","https://openalex.org/W2054801208","https://openalex.org/W2058233069","https://openalex.org/W2096474000","https://openalex.org/W2101234009","https://openalex.org/W2135808265","https://openalex.org/W2146932554","https://openalex.org/W2152334432","https://openalex.org/W2159427933","https://openalex.org/W2167971042","https://openalex.org/W2279272897","https://openalex.org/W2376557535","https://openalex.org/W2393727648","https://openalex.org/W2790176316","https://openalex.org/W2911964244","https://openalex.org/W2917366689","https://openalex.org/W3046887954","https://openalex.org/W3089537586","https://openalex.org/W4240018668","https://openalex.org/W6600988376","https://openalex.org/W6601654557","https://openalex.org/W6607905597","https://openalex.org/W6608489338","https://openalex.org/W6647625050","https://openalex.org/W6675354045","https://openalex.org/W6680448053","https://openalex.org/W6759630410","https://openalex.org/W6980851251"],"related_works":["https://openalex.org/W2563334590","https://openalex.org/W3094387502","https://openalex.org/W2922478741","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2136583354","https://openalex.org/W2355007334","https://openalex.org/W2101092231","https://openalex.org/W2119827098","https://openalex.org/W2111238207"],"abstract_inverted_index":{"Important":[0],"network":[1],"functions":[2],"such":[3],"as":[4,26],"traffic":[5],"classification":[6],"and":[7,128,134],"intrusion":[8],"detection":[9],"often":[10],"depend":[11],"on":[12],"high-throughput":[13],"regular":[14,21,90,136],"expression":[15],"matching.":[16],"To":[17,61],"achieve":[18],"high":[19],"performance,":[20],"expressions":[22,91],"can":[23],"be":[24,41],"represented":[25],"state":[27,37],"machines,":[28],"which":[29,35,121],"are":[30],"then":[31],"merged.":[32],"However,":[33],"determining":[34],"individual":[36],"machines":[38],"should":[39],"ideally":[40],"merged":[42],"together":[43],"is":[44],"a":[45,85,103],"challenging":[46],"optimization":[47],"problem.":[48],"We":[49,116],"address":[50],"this":[51],"problem":[52],"by":[53],"using":[54,94],"genetic":[55],"algorithms":[56],"with":[57],"novel":[58],"problem-specific":[59],"operators.":[60],"allow":[62],"large":[63,100],"scale":[64,89],"evaluation":[65,80],"of":[66,87,113],"the":[67,77,95,130],"new":[68],"operators,":[69],"we":[70],"devise":[71],"two":[72],"ML-based":[73],"surrogate":[74],"models":[75],"for":[76,125],"expensive":[78],"fitness":[79],"function.":[81],"Our":[82],"results":[83],"from":[84],"set":[86],"production":[88],"show":[92,129],"that":[93,108],"most":[96],"appropriate":[97],"operations":[98],"provides":[99],"gains":[101],"over":[102],"naive":[104],"baseline,":[105],"but":[106],"also":[107],"no":[109],"universal":[110],"best":[111,124],"combination":[112],"operators":[114,122],"exist.":[115],"provide":[117],"some":[118],"insights":[119],"into":[120],"perform":[123],"different":[126],"objectives,":[127],"variation":[131],"between":[132],"TCP-":[133],"UDP-specific":[135],"expressions.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
