{"id":"https://openalex.org/W4386506892","doi":"https://doi.org/10.1145/3605731.3605745","title":"Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol","display_name":"Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386506892","doi":"https://doi.org/10.1145/3605731.3605745"},"language":"en","primary_location":{"id":"doi:10.1145/3605731.3605745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605731.3605745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing Workshops","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/A5075524641","display_name":"Kaitlyn Lee","orcid":"https://orcid.org/0000-0001-6375-8087"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kaitlyn Lee","raw_affiliation_strings":["Northern Arizona University, USA"],"raw_orcid":"https://orcid.org/0000-0001-6375-8087","affiliations":[{"raw_affiliation_string":"Northern Arizona University, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004626039","display_name":"Brian Donnelly","orcid":"https://orcid.org/0000-0002-7484-3778"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Donnelly","raw_affiliation_strings":["Northern Arizona University, USA"],"raw_orcid":"https://orcid.org/0000-0002-7484-3778","affiliations":[{"raw_affiliation_string":"Northern Arizona University, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058072770","display_name":"Tomer Sery","orcid":"https://orcid.org/0000-0001-6358-1445"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomer Sery","raw_affiliation_strings":["GSI Technology, Israel"],"raw_orcid":"https://orcid.org/0000-0001-6358-1445","affiliations":[{"raw_affiliation_string":"GSI Technology, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093469852","display_name":"Dan Ilan","orcid":"https://orcid.org/0000-0002-8768-2985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Ilan","raw_affiliation_strings":["GSI Technology, Israel"],"raw_orcid":"https://orcid.org/0000-0002-8768-2985","affiliations":[{"raw_affiliation_string":"GSI Technology, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064958109","display_name":"Bertrand Cambou","orcid":"https://orcid.org/0000-0001-9272-6527"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bertrand Cambou","raw_affiliation_strings":["Northern Arizona University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9272-6527","affiliations":[{"raw_affiliation_string":"Northern Arizona University, USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075564331","display_name":"Michael Gowanlock","orcid":"https://orcid.org/0000-0002-0826-6204"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gowanlock","raw_affiliation_strings":["Northern Arizona University, USA"],"raw_orcid":"https://orcid.org/0000-0002-0826-6204","affiliations":[{"raw_affiliation_string":"Northern Arizona University, USA","institution_ids":["https://openalex.org/I203172682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075524641"],"corresponding_institution_ids":["https://openalex.org/I203172682"],"apc_list":null,"apc_paid":null,"fwci":0.3408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65772129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9988999962806702,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9988999962806702,"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/T10237","display_name":"Cryptography and Data Security","score":0.9983999729156494,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8559198379516602},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6169549822807312},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.6161446571350098},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6118037700653076},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5569451451301575},{"id":"https://openalex.org/keywords/cryptographic-protocol","display_name":"Cryptographic protocol","score":0.5494727492332458},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5422829389572144},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5287836194038391},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.4914194345474243},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.43786388635635376},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35471615195274353},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3536747395992279},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1444520652294159},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1402512490749359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8559198379516602},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6169549822807312},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.6161446571350098},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6118037700653076},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5569451451301575},{"id":"https://openalex.org/C33884865","wikidata":"https://www.wikidata.org/wiki/Q1254335","display_name":"Cryptographic protocol","level":3,"score":0.5494727492332458},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5422829389572144},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5287836194038391},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.4914194345474243},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.43786388635635376},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35471615195274353},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3536747395992279},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1444520652294159},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1402512490749359},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605731.3605745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605731.3605745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3474627646","display_name":null,"funder_award_id":"W911NF-23-2-0014","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W73166184","https://openalex.org/W1506139516","https://openalex.org/W2002427248","https://openalex.org/W2037750941","https://openalex.org/W2039719147","https://openalex.org/W2040950542","https://openalex.org/W2052828598","https://openalex.org/W2075489210","https://openalex.org/W2089687380","https://openalex.org/W2269491305","https://openalex.org/W2296338441","https://openalex.org/W2798297259","https://openalex.org/W2809095523","https://openalex.org/W2866028610","https://openalex.org/W2912133665","https://openalex.org/W2987483625","https://openalex.org/W3106213055","https://openalex.org/W3208582994","https://openalex.org/W4211175967","https://openalex.org/W4211245047","https://openalex.org/W4226075590"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W2291943064","https://openalex.org/W2209727271","https://openalex.org/W2348330046","https://openalex.org/W2565862224","https://openalex.org/W2147073383","https://openalex.org/W2154903817","https://openalex.org/W167388389"],"abstract_inverted_index":{"Security":[0],"threats":[1],"are":[2],"rising":[3],"due":[4],"to":[5,20,39,59,80],"widely":[6],"available":[7],"computational":[8],"power":[9],"and":[10,110,121,144],"near-future":[11],"quantum":[12],"computers.":[13],"New":[14],"cryptographic":[15],"protocols":[16,27],"have":[17],"been":[18],"developed":[19],"address":[21],"these":[22],"challenges,":[23],"but":[24,126],"very":[25],"few":[26],"take":[28],"advantage":[29],"of":[30,67,91,94,141,149],"parallel":[31],"computing.":[32],"In":[33],"this":[34,75,85],"paper,":[35],"we":[36,136],"propose":[37],"optimizations":[38,72],"the":[40,47,92,95,100,105,111,119,127,138,142],"cryptography":[41,57],"protocol":[42,48,98],"Response-Based":[43],"Cryptography":[44],"(RBC).":[45],"Since":[46],"is":[49],"general-purpose,":[50],"it":[51],"can":[52,129],"be":[53,81,130],"incorporated":[54],"into":[55],"post-quantum":[56],"systems":[58],"authenticate":[60],"users":[61],"in":[62,74],"resource-constrained":[63],"environments,":[64],"like":[65],"Internet":[66],"Thing":[68],"(IoT)":[69],"devices.":[70],"The":[71],"proposed":[73],"paper":[76,86],"allow":[77],"for":[78],"clients":[79],"authenticated":[82],"faster.":[83],"Additionally,":[84],"makes":[87],"a":[88,146],"cross-platform":[89],"comparison":[90],"performance":[93,125],"optimized":[96],"RBC":[97],"on":[99,152],"Graphics":[101],"Processing":[102,107,113],"Unit":[103,108,114],"(GPU),":[104],"Central":[106],"(CPU),":[109],"Associative":[112],"(APU).":[115],"We":[116],"find":[117],"that":[118],"GPU":[120],"APU":[122,128],"yield":[123],"similar":[124],"much":[131],"more":[132],"energy":[133],"efficient.":[134],"Furthermore,":[135],"evaluate":[137],"multi-GPU":[139],"scalability":[140],"algorithm":[143],"achieve":[145],"minimum":[147],"speedup":[148],"2.66":[150],"\u00d7":[151,154],"3":[153],"A100":[155],"GPUs.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
