{"id":"https://openalex.org/W4403094448","doi":"https://doi.org/10.1109/access.2024.3472037","title":"Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm","display_name":"Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403094448","doi":"https://doi.org/10.1109/access.2024.3472037"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3472037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3472037","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":null,"license_id":null,"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.2024.3472037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115592171","display_name":"Xiaoliang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Zhang","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108995681","display_name":"Tianwei Guo","orcid":"https://orcid.org/0009-0002-2418-8960"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianwei Guo","raw_affiliation_strings":["Information Statistics Centre, Huai’an Second People’s Hospital, Huaian, China"],"raw_orcid":"https://orcid.org/0009-0002-2418-8960","affiliations":[{"raw_affiliation_string":"Information Statistics Centre, Huai’an Second People’s Hospital, Huaian, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3994,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62930805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"148190","last_page":"148200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.49149999022483826,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.49149999022483826,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.4490000009536743,"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/T14280","display_name":"Big Data Technologies and Applications","score":0.4359999895095825,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128008604049683},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5715270042419434},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4926620125770569},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47093310952186584},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4260179400444031},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34518158435821533},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2152959406375885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128008604049683},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5715270042419434},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4926620125770569},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47093310952186584},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4260179400444031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34518158435821533},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2152959406375885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3472037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3472037","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dd2175c9abb84c54824d95c3dab977ca","is_oa":true,"landing_page_url":"https://doaj.org/article/dd2175c9abb84c54824d95c3dab977ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 148190-148200 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3472037","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3472037","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2944772476","https://openalex.org/W2946156428","https://openalex.org/W2949228982","https://openalex.org/W2954486536","https://openalex.org/W2975673918","https://openalex.org/W2985654567","https://openalex.org/W3013798241","https://openalex.org/W3024707412","https://openalex.org/W3026593668","https://openalex.org/W3043772277","https://openalex.org/W3164549964","https://openalex.org/W3178955780","https://openalex.org/W4206362244","https://openalex.org/W4207044309","https://openalex.org/W4210481967","https://openalex.org/W4223517404","https://openalex.org/W4289711538","https://openalex.org/W4290047133","https://openalex.org/W4297624503","https://openalex.org/W4313201401","https://openalex.org/W4361248278","https://openalex.org/W4361298405","https://openalex.org/W4366987054","https://openalex.org/W4376127166","https://openalex.org/W4387023051","https://openalex.org/W4387218745","https://openalex.org/W4389913585","https://openalex.org/W4391805143"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2051487156","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"With":[0],"the":[1,8,30,77,91,112,117,124,133,138,151,154,159,163,167,177,183,187,201,235],"rapid":[2],"development":[3],"of":[4,10,35,80,123,166,179,186,239],"information":[5,49,67,152,212,241],"technology":[6],"and":[7,26,33,51,75,96,132,214,223,237],"advancement":[9],"medical":[11,13,36,203,230,240],"informatization,":[12],"big":[14,204],"data":[15,37,205,231],"plays":[16],"an":[17,71],"increasingly":[18],"important":[19],"role":[20],"in":[21,153],"diagnosis,":[22],"treatment,":[23],"health":[24],"management,":[25],"other":[27],"aspects.":[28],"However,":[29],"high":[31],"sensitivity":[32],"privacy":[34,44,78,206,232],"also":[38],"bring":[39],"serious":[40],"security":[41,236],"challenges.":[42],"A":[43],"risk":[45,207],"assessment":[46,208],"model":[47,63,74,129,148,172,192],"combining":[48],"entropy":[50,68,213],"fuzzy":[52,92,126,169,189,216],"C-means":[53,93,127,170,190,217],"clustering":[54,94,128,171,191,218],"algorithm":[55],"is":[56,64,86,115,130,135,140,173,193],"proposed":[57,202],"to":[58,69],"address":[59],"this":[60],"issue.":[61],"This":[62],"based":[65,101],"on":[66,88,102],"construct":[70],"access":[72,82,104],"control":[73],"quantify":[76],"risks":[79],"user":[81],"behavior.":[83],"Cluster":[84],"analysis":[85],"conducted":[87],"users":[89,180],"using":[90],"algorithm,":[95,219],"different":[97],"permissions":[98],"are":[99],"assigned":[100],"their":[103],"habits.":[105],"The":[106,196],"experimental":[107],"results":[108,198],"show":[109],"that":[110,146,200],"when":[111],"iteration":[113],"number":[114,178],"120,":[116],"root":[118],"mean":[119],"square":[120],"error":[121],"value":[122],"improved":[125,168,188,215],"0.08,":[131],"accuracy":[134],"0.98.":[136],"When":[137,158,176],"dataset":[139,155,160],"100,":[141,182],"it":[142],"can":[143,149,224],"be":[144],"seen":[145],"each":[147],"learn":[150],"relatively":[156],"completely.":[157],"reaches":[161,181],"800,":[162],"judgment":[164,184],"time":[165,185],"0.6":[174],"seconds.":[175,195],"1.8":[194],"research":[197],"indicate":[199],"model,":[209],"which":[210],"combines":[211],"has":[220],"excellent":[221],"performance":[222],"provide":[225],"new":[226],"technical":[227],"means":[228],"for":[229],"protection,":[233],"enhancing":[234],"reliability":[238],"systems.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}