{"id":"https://openalex.org/W2541037576","doi":"https://doi.org/10.1109/itw.2004.1405309","title":"Using the BCH construction to generate robust linear hash functions","display_name":"Using the BCH construction to generate robust linear hash functions","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2541037576","doi":"https://doi.org/10.1109/itw.2004.1405309","mag":"2541037576"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2004.1405309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2004.1405309","pdf_url":null,"source":{"id":"https://openalex.org/S6912960","display_name":"Manufacturing Engineer","issn_l":"0956-9944","issn":["0956-9944","1741-0509"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Manufacturing Engineer","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/A5112225904","display_name":"J.P. Grossman","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J.P. Grossman","raw_affiliation_strings":["Configuresoft, Inc., Colorado Springs, CO, USA"],"affiliations":[{"raw_affiliation_string":"Configuresoft, Inc., Colorado Springs, CO, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052825518","display_name":"L. Jakab","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Jakab","raw_affiliation_strings":["Department of EECS, MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of EECS, MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112225904"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40034004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"250","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9846000075340271,"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/T11478","display_name":"Caching and Content Delivery","score":0.9846000075340271,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9843999743461609,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/hash-function","display_name":"Hash function","score":0.8924845457077026},{"id":"https://openalex.org/keywords/collision-attack","display_name":"Collision attack","score":0.6523718237876892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627781867980957},{"id":"https://openalex.org/keywords/collision-resistance","display_name":"Collision resistance","score":0.6146824955940247},{"id":"https://openalex.org/keywords/bch-code","display_name":"BCH code","score":0.6034501791000366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5172396302223206},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.4944436550140381},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45943352580070496},{"id":"https://openalex.org/keywords/hash-chain","display_name":"Hash chain","score":0.451265811920166},{"id":"https://openalex.org/keywords/perfect-hash-function","display_name":"Perfect hash function","score":0.4466882348060608},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3607383966445923},{"id":"https://openalex.org/keywords/cryptographic-hash-function","display_name":"Cryptographic hash function","score":0.35931673645973206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32336926460266113},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.11888015270233154}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8924845457077026},{"id":"https://openalex.org/C87538441","wikidata":"https://www.wikidata.org/wiki/Q389463","display_name":"Collision attack","level":5,"score":0.6523718237876892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627781867980957},{"id":"https://openalex.org/C150909736","wikidata":"https://www.wikidata.org/wiki/Q1779448","display_name":"Collision resistance","level":5,"score":0.6146824955940247},{"id":"https://openalex.org/C42276685","wikidata":"https://www.wikidata.org/wiki/Q795705","display_name":"BCH code","level":3,"score":0.6034501791000366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5172396302223206},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.4944436550140381},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45943352580070496},{"id":"https://openalex.org/C135783594","wikidata":"https://www.wikidata.org/wiki/Q5678864","display_name":"Hash chain","level":3,"score":0.451265811920166},{"id":"https://openalex.org/C87431388","wikidata":"https://www.wikidata.org/wiki/Q2070573","display_name":"Perfect hash function","level":4,"score":0.4466882348060608},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3607383966445923},{"id":"https://openalex.org/C7608002","wikidata":"https://www.wikidata.org/wiki/Q477202","display_name":"Cryptographic hash function","level":3,"score":0.35931673645973206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32336926460266113},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11888015270233154},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itw.2004.1405309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2004.1405309","pdf_url":null,"source":{"id":"https://openalex.org/S6912960","display_name":"Manufacturing Engineer","issn_l":"0956-9944","issn":["0956-9944","1741-0509"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Manufacturing Engineer","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.1124","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.1124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wclb.tamu.edu/itw2004/program/grossman_107.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2052207834","https://openalex.org/W2153848652","https://openalex.org/W2169855483"],"related_works":["https://openalex.org/W1493566387","https://openalex.org/W3018807086","https://openalex.org/W4386075132","https://openalex.org/W2988738237","https://openalex.org/W3172393520","https://openalex.org/W3192247344","https://openalex.org/W2937807672","https://openalex.org/W137089333","https://openalex.org/W2068448121","https://openalex.org/W2380122294"],"abstract_inverted_index":{"Providing":[0],"a":[1,65,109,135],"single":[2,66],"hash":[3,27,71,113],"function":[4,28,72],"for":[5],"use":[6],"across":[7],"multiple":[8],"applications":[9,18],"is":[10],"challenging":[11],"due":[12],"to":[13,63,105],"the":[14,33,43,57,74,78,87,106,119],"fact":[15],"that":[16,35,76,77,117],"different":[17,20],"require":[19],"sizes":[21],"of":[22,42,45,108,118,141],"hashed":[23],"values.":[24],"An":[25],"application-independent":[26],"must":[29,37],"be":[30,61],"robust":[31],"in":[32],"sense":[34],"it":[36],"maintain":[38],"good":[39,97],"characteristics":[40],"independent":[41],"number":[44],"output":[46,92],"bits":[47,93],"which":[48],"are":[49],"used.":[50],"In":[51],"this":[52,103],"paper":[53],"we":[54],"show":[55],"how":[56],"BCH":[58],"construction":[59,107],"can":[60],"used":[62],"construct":[64],"n/spl":[67,79],"rarr/m":[68],"bit":[69,81,112],"linear":[70],"with":[73],"property":[75],"rarr/m'":[80,121],"subhash":[82],"functions":[83],"obtained":[84],"by":[85],"discarding":[86],"upper":[88],"m":[89],"-":[90],"m'":[91],"all":[94,131],"have":[95,125,134],"provably":[96],"collision":[98,128,137],"avoidance":[99],"properties.":[100],"We":[101,115],"apply":[102],"technique":[104],"256/spl":[110,120],"rarr/128":[111],"function.":[114],"find":[116],"subhashes,":[122],"over":[123],"78%":[124],"optimal":[126],"minimum":[127,136],"distances":[129],"and":[130],"but":[132],"one":[133],"distance":[138],"within":[139],"2":[140],"optimal.":[142]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
