{"id":"https://openalex.org/W7135022453","doi":"https://doi.org/10.1109/access.2026.3673495","title":"HAxSH: A Derivative of SipHash Using Approximation","display_name":"HAxSH: A Derivative of SipHash Using Approximation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135022453","doi":"https://doi.org/10.1109/access.2026.3673495"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3673495","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673495","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3673495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128860257","display_name":"Vivekananda G","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vivekananda. G","raw_affiliation_strings":["Indian Institute of Technology, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035276538","display_name":"Thejaswini .P","orcid":null},"institutions":[{"id":"https://openalex.org/I126824641","display_name":"JSS Academy of Higher Education and Research","ror":"https://ror.org/013x70191","country_code":"IN","type":"education","lineage":["https://openalex.org/I126824641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thejaswini. P","raw_affiliation_strings":["JSS Academy of Technical Education, Bengaluru, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"JSS Academy of Technical Education, Bengaluru, Karnataka, India","institution_ids":["https://openalex.org/I126824641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128812492","display_name":"John Jose","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"John Jose","raw_affiliation_strings":["Indian Institute of Technology, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053883070","display_name":"Sukumar Nandi","orcid":"https://orcid.org/0000-0002-5869-1057"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukumar Nandi","raw_affiliation_strings":["Indian Institute of Technology, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5128860257"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63143989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"41155","last_page":"41167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.07180000096559525,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.07180000096559525,"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/T10126","display_name":"Logic, programming, and type systems","score":0.042899999767541885,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.029400000348687172,"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/adder","display_name":"Adder","score":0.7429999709129333},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.5619999766349792},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.5174999833106995},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.44839999079704285},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.43470001220703125},{"id":"https://openalex.org/keywords/cryptanalysis","display_name":"Cryptanalysis","score":0.4253999888896942},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.39469999074935913},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3824000060558319},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.3646000027656555},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.3628000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516999840736389},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.7429999709129333},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.5619999766349792},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.5174999833106995},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.44839999079704285},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.43470001220703125},{"id":"https://openalex.org/C181149355","wikidata":"https://www.wikidata.org/wiki/Q897511","display_name":"Cryptanalysis","level":3,"score":0.4253999888896942},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.39469999074935913},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.38659998774528503},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36820000410079956},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36090001463890076},{"id":"https://openalex.org/C78401558","wikidata":"https://www.wikidata.org/wiki/Q464496","display_name":"Standard cell","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C90806461","wikidata":"https://www.wikidata.org/wiki/Q1144416","display_name":"Propagation delay","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3181999921798706},{"id":"https://openalex.org/C39217717","wikidata":"https://www.wikidata.org/wiki/Q1432354","display_name":"Hardware security module","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C141492731","wikidata":"https://www.wikidata.org/wiki/Q1052621","display_name":"Message authentication code","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C198690329","wikidata":"https://www.wikidata.org/wiki/Q15702839","display_name":"Curve25519","level":5,"score":0.3025999963283539},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.29750001430511475},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2944999933242798},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C142962650","wikidata":"https://www.wikidata.org/wiki/Q240838","display_name":"Reconfigurable computing","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C145242015","wikidata":"https://www.wikidata.org/wiki/Q774123","display_name":"Approximation theory","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C2776277307","wikidata":"https://www.wikidata.org/wiki/Q22074755","display_name":"Stratix","level":3,"score":0.2655999958515167}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3673495","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673495","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:79a67ea10d2a4246ac676faccac7ef8d","is_oa":true,"landing_page_url":"https://doaj.org/article/79a67ea10d2a4246ac676faccac7ef8d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 41155-41167 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3673495","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3673495","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pseudo":[0],"Random":[1],"Functions":[2],"(PRFs)":[3],"and":[4,13,30,44,60,77,115,128,131,151,164,188,205],"lightweight":[5,231],"message":[6,232],"authentication":[7,233],"are":[8,54,122,132],"key":[9],"components":[10],"of":[11,15,63,80,97,141,208],"embedded":[12],"Internet":[14],"Things":[16],"(IoT)":[17],"security":[18],"architectures.":[19],"These":[20,214],"systems":[21],"operate":[22],"under":[23,154],"strict":[24],"constraints":[25],"on":[26],"latency,":[27,196],"energy":[28],"consumption,":[29,204],"hardware":[31,52,224],"area,":[32],"which":[33],"require":[34],"hardware-efficient":[35],"implementations.":[36],"SipHash":[37,82,98,187],"is":[38,143,167,177],"a":[39,75,155,206,222],"widely":[40],"used":[41],"ARX-based":[42,228],"PRF":[43],"MAC":[45],"optimized":[46],"for":[47,211,227],"short":[48],"inputs.":[49],"However,":[50],"its":[51],"implementations":[53],"frequently":[55],"constrained":[56,236],"by":[57,124],"the":[58,68,81,93,112,135],"latency":[59],"power":[61,203],"consumption":[62],"64-bit":[64,103],"modular":[65],"additions":[66,104],"in":[67,182,234],"round":[69,94,137],"function.":[70,138],"This":[71],"paper":[72],"presents":[73],"HAxSH,":[74],"hardware-oriented":[76],"performance-focused":[78],"derivative":[79],"that":[83,217],"uses":[84],"approximate":[85,108,119,218],"arithmetic":[86,219],"as":[87],"an":[88],"architectural":[89],"optimization.":[90],"HAxSH":[91,190],"retains":[92],"function":[95],"structure":[96],"while":[99],"selectively":[100],"replacing":[101],"exact":[102],"with":[105],"carefully":[106],"designed":[107,123],"adders":[109],"to":[110,169,186,193],"reduce":[111],"critical":[113],"path":[114],"switching":[116],"activity.":[117],"Two":[118],"adder":[120],"architectures":[121],"approximating":[125],"carry":[126],"propagation":[127,172],"sum":[129],"computation,":[130],"integrated":[133],"into":[134],"ARX":[136],"The":[139],"impact":[140],"approximation":[142],"empirically":[144],"evaluated":[145,178],"using":[146],"NIST":[147],"STS,":[148],"ENT,":[149],"DieHarder,":[150],"avalanche":[152],"testing":[153],"classical":[156],"adversary":[157],"model.":[158],"In":[159],"addition,":[160],"MILP-based":[161],"automated":[162],"linear":[163],"differential":[165],"cryptanalysis":[166],"performed":[168],"bound":[170],"characteristic":[171],"across":[173],"rounds.":[174],"Hardware":[175],"performance":[176],"through":[179],"ASIC":[180],"synthesis":[181],"90nm":[183],"technology.":[184],"Compared":[185],"Chaskey,":[189],"achieves":[191],"up":[192],"6\u00d7":[194],"lower":[195,202],"approximately":[197],"10%":[198],"area":[199],"reduction,":[200],"60%":[201],"throughput":[207],"1.95":[209],"Gbps":[210],"128-bit":[212],"messages.":[213],"results":[215],"suggest":[216],"can":[220],"be":[221],"viable":[223],"acceleration":[225],"technique":[226],"PRFs":[229],"targeting":[230],"highly":[235],"environments.":[237]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2026-03-13T00:00:00"}
