{"id":"https://openalex.org/W4403319885","doi":"https://doi.org/10.1145/3686490.3686534","title":"An Improved Privacy Control Scheme for Contract Algorithm Based on Structure Entropy","display_name":"An Improved Privacy Control Scheme for Contract Algorithm Based on Structure Entropy","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4403319885","doi":"https://doi.org/10.1145/3686490.3686534"},"language":"en","primary_location":{"id":"doi:10.1145/3686490.3686534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","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/A5114244524","display_name":"Diao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138370","display_name":"Liupanshui Normal University","ror":"https://ror.org/038d7ve10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138370"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Diao Wang","raw_affiliation_strings":["School of Computer Science, Liupanshui Normal University, China"],"raw_orcid":"https://orcid.org/0009-0002-9762-6343","affiliations":[{"raw_affiliation_string":"School of Computer Science, Liupanshui Normal University, China","institution_ids":["https://openalex.org/I4210138370"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhifei Hu","orcid":"https://orcid.org/0009-0005-9756-5861"},"institutions":[{"id":"https://openalex.org/I4210138370","display_name":"Liupanshui Normal University","ror":"https://ror.org/038d7ve10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138370"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifei Hu","raw_affiliation_strings":["School of Computer Science, Liupanshui Normal University, China"],"raw_orcid":"https://orcid.org/0009-0005-9756-5861","affiliations":[{"raw_affiliation_string":"School of Computer Science, Liupanshui Normal University, China","institution_ids":["https://openalex.org/I4210138370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114244524"],"corresponding_institution_ids":["https://openalex.org/I4210138370"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15151802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6924933195114136},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5686055421829224},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5226507186889648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48914340138435364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1391930878162384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924933195114136},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5686055421829224},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5226507186889648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48914340138435364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1391930878162384},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686490.3686534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686490.3686534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W85648037","https://openalex.org/W2057595201","https://openalex.org/W2142356177","https://openalex.org/W2144143615","https://openalex.org/W2168919539","https://openalex.org/W2338678442","https://openalex.org/W2499811908","https://openalex.org/W2521713091","https://openalex.org/W2762263308","https://openalex.org/W3027991306","https://openalex.org/W4205701710","https://openalex.org/W4213060883"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,63,87,94],"the":[3,15,51,59,70,91,113],"limitations":[4],"of":[5,72,74,115],"current":[6],"contract":[7,40],"algorithms":[8,41],"that":[9,109],"rely":[10],"on":[11,43,82],"random":[12,21],"selection":[13],"during":[14],"clustering":[16,22],"process,":[17],"resulting":[18],"in":[19,90],"excessively":[20],"outcomes":[23],"and":[24,58,118],"high":[25],"computational":[26,120],"costs":[27,121],"for":[28,39],"subsequent":[29],"privacy":[30,36,95,99],"validation,":[31],"this":[32,110],"research":[33],"introduced":[34],"a":[35],"control":[37],"framework":[38,47,111],"based":[42,81],"structural":[44],"entropy.":[45],"The":[46],"proposed":[48],"two":[49],"strategies:":[50],"maximum":[52],"probability":[53],"information":[54],"flow":[55],"priority":[56,61],"strategy":[57,62],"\"acquaintance\"":[60],"minimize":[64],"result":[65],"uncertainty.":[66],"Furthermore,":[67],"drawing":[68],"from":[69],"concept":[71],"resistance":[73,84,93],"graphs,":[75],"an":[76],"algorithm":[77,116],"utility":[78],"evaluation":[79],"mechanism":[80],"graph":[83],"was":[85],"established":[86],"evaluate":[88],"changes":[89],"network's":[92],"breaches":[96],"caused":[97],"by":[98],"protection":[100],"algorithms.":[101],"Through":[102],"comparative":[103],"experimental":[104],"analysis,":[105],"it":[106],"is":[107],"demonstrated":[108],"improves":[112],"efficiency":[114],"iterations":[117],"reduces":[119],"while":[122],"ensuring":[123],"security.":[124]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
