{"id":"https://openalex.org/W2921659643","doi":"https://doi.org/10.23919/apsipa.2018.8659755","title":"Identification and Restoration of LZ77 Compressed Data Using a Machine Learning Approach","display_name":"Identification and Restoration of LZ77 Compressed Data Using a Machine Learning Approach","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921659643","doi":"https://doi.org/10.23919/apsipa.2018.8659755","mag":"2921659643"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659755","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5075664792","display_name":"Beom Kwon","orcid":"https://orcid.org/0000-0002-8345-2189"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Beom Kwon","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075106906","display_name":"Myongsik Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myongsik Gong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016230167","display_name":"Jungwoo Huh","orcid":"https://orcid.org/0000-0002-1103-8309"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwoo Huh","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075664792"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7968185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1787","last_page":"1790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9987999796867371,"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/codec","display_name":"Codec","score":0.844723105430603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.790686309337616},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6733380556106567},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6235707402229309},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.49571263790130615},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48774343729019165},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4403063952922821},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37996190786361694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3620118498802185},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09253507852554321}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.844723105430603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790686309337616},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6733380556106567},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6235707402229309},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.49571263790130615},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48774343729019165},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4403063952922821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37996190786361694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3620118498802185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09253507852554321},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659755","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":16,"referenced_works":["https://openalex.org/W1517403092","https://openalex.org/W1776424436","https://openalex.org/W1995998997","https://openalex.org/W2071484336","https://openalex.org/W2084585233","https://openalex.org/W2107745473","https://openalex.org/W2117946854","https://openalex.org/W2548826281","https://openalex.org/W2586451834","https://openalex.org/W2616562168","https://openalex.org/W2618075135","https://openalex.org/W2621387679","https://openalex.org/W2767189449","https://openalex.org/W2813819634","https://openalex.org/W4243494487","https://openalex.org/W6738382273"],"related_works":["https://openalex.org/W1512321724","https://openalex.org/W4231317009","https://openalex.org/W2039662546","https://openalex.org/W2367696392","https://openalex.org/W4383723869","https://openalex.org/W4293703255","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264"],"abstract_inverted_index":{"Identifying":[0],"the":[1,56,63,66,87,105,115,120,124,132,137],"type":[2,64],"of":[3,58,65,107,136,149],"a":[4,93,141],"codec":[5,67],"that":[6,109],"used":[7,111],"to":[8,22,45,51],"compress":[9],"data":[10,24,53,95,122],"is":[11,96],"essential":[12],"in":[13,49],"digital":[14],"forensics":[15],"since":[16],"many":[17],"trials":[18],"and":[19,78,134,145,151],"errors":[20],"required":[21],"restore":[23,52,119],"can":[25,41],"be":[26,42,69],"reduced.":[27],"Nevertheless,":[28],"most":[29],"compression":[30,143],"algorithms":[31],"have":[32],"been":[33],"configured":[34],"by":[35,98],"using":[36],"several":[37],"parameters":[38,59,108],"whose":[39],"values":[40,57,106],"different":[43],"according":[44],"each":[46],"user.":[47],"Therefore,":[48],"order":[50],"more":[54],"effectively,":[55],"as":[60,62],"well":[61],"must":[68],"identified.":[70],"In":[71,86],"this":[72],"paper,":[73],"we":[74,90,103,118],"present":[75],"an":[76],"identification":[77,144],"restoration":[79],"method":[80,139],"for":[81,112],"Lempel-Ziv-77":[82],"(LZ77)":[83],"compressed":[84,97,126],"data.":[85,127],"proposed":[88,138],"method,":[89],"identify":[91],"whether":[92],"given":[94],"LZ77":[99,125],"or":[100],"not.":[101],"Moreover,":[102],"estimate":[104],"were":[110],"compression.":[113],"Using":[114],"estimated":[116],"parameters,":[117],"original":[121],"from":[123],"The":[128],"simulation":[129],"results":[130],"demonstrate":[131],"feasibility":[133],"effectiveness":[135],"with":[140],"successful":[142],"parameter":[146],"estimation":[147],"accuracies":[148],"100%":[150],"84.41%.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}