{"id":"https://openalex.org/W4399011880","doi":"https://doi.org/10.1007/s11265-024-01920-z","title":"Anonymizing Big Data Streams Using In-memory Processing: A Novel Model Based on One-time Clustering","display_name":"Anonymizing Big Data Streams Using In-memory Processing: A Novel Model Based on One-time Clustering","publication_year":2024,"publication_date":"2024-05-25","ids":{"openalex":"https://openalex.org/W4399011880","doi":"https://doi.org/10.1007/s11265-024-01920-z"},"language":"en","primary_location":{"id":"doi:10.1007/s11265-024-01920-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01920-z","pdf_url":null,"source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s11265-024-01920-z","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098829983","display_name":"Elham Shamsinejad","orcid":"https://orcid.org/0009-0001-4941-8921"},"institutions":[{"id":"https://openalex.org/I41775361","display_name":"Islamic Azad University Central Tehran Branch","ror":"https://ror.org/03a11m818","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I41775361"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Elham Shamsinejad","raw_affiliation_strings":["Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0009-0001-4941-8921","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I41775361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051470844","display_name":"Touraj Banirostam","orcid":"https://orcid.org/0000-0002-3477-9046"},"institutions":[{"id":"https://openalex.org/I41775361","display_name":"Islamic Azad University Central Tehran Branch","ror":"https://ror.org/03a11m818","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I41775361"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Touraj Banirostam","raw_affiliation_strings":["Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-3477-9046","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I41775361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045097170","display_name":"Mir Mohsen Pedram","orcid":"https://orcid.org/0000-0002-0674-4428"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mir Mohsen Pedram","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-0674-4428","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021772077","display_name":"Amir Masoud Rahmani","orcid":"https://orcid.org/0000-0001-8641-6119"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amir Masoud Rahmani","raw_affiliation_strings":["Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-8641-6119","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051470844"],"corresponding_institution_ids":["https://openalex.org/I41775361"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":3.9503,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94216536,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"96","issue":"6-7","first_page":"333","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.998199999332428,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7308878898620605},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6381702423095703},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.606606125831604},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.5591628551483154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47111988067626953},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.43970271944999695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3014070391654968},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05853453278541565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308878898620605},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6381702423095703},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.606606125831604},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5591628551483154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47111988067626953},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.43970271944999695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3014070391654968},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05853453278541565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11265-024-01920-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01920-z","pdf_url":null,"source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11265-024-01920-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11265-024-01920-z","pdf_url":null,"source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Signal Processing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1981318330","https://openalex.org/W2003853137","https://openalex.org/W2152158339","https://openalex.org/W2510748453","https://openalex.org/W2626558802","https://openalex.org/W2793255001","https://openalex.org/W2886891447","https://openalex.org/W2898931495","https://openalex.org/W2913764123","https://openalex.org/W2990267638","https://openalex.org/W2994715471","https://openalex.org/W3119569451","https://openalex.org/W3130749441","https://openalex.org/W3207958712","https://openalex.org/W4231529766","https://openalex.org/W4311770769","https://openalex.org/W4312712360","https://openalex.org/W4367309379","https://openalex.org/W4385380151","https://openalex.org/W4387340008","https://openalex.org/W4388441187","https://openalex.org/W4389500655","https://openalex.org/W4390589933","https://openalex.org/W4391913151","https://openalex.org/W4392977344","https://openalex.org/W4394725188","https://openalex.org/W4394786667","https://openalex.org/W4394792220","https://openalex.org/W6888773943"],"related_works":["https://openalex.org/W4293083682","https://openalex.org/W2908411463","https://openalex.org/W2061507057","https://openalex.org/W807005383","https://openalex.org/W2182399080","https://openalex.org/W1494355008","https://openalex.org/W1501624740","https://openalex.org/W1984941792","https://openalex.org/W2167004500","https://openalex.org/W2369440580"],"abstract_inverted_index":{"Big":[0],"data":[1,9,12,19,27,30,46,74,112,117,121,138,140,143,147,151],"privacy":[2,148],"preservation":[3],"is":[4,127],"a":[5,40,54,63,88],"critical":[6],"challenge":[7],"for":[8,16,43,119,139],"mining":[10,141],"and":[11,32,62,71,82,91,101,114,123,131,142,149],"analysis.":[13],"Existing":[14],"methods":[15],"anonymizing":[17,44],"big":[18,45],"streams":[20,47],"using":[21,48,87],"k-anonymity":[22,97],"algorithms":[23],"may":[24],"cause":[25],"high":[26],"loss,":[28],"low":[29],"quality,":[31],"identity":[33],"disclosure.":[34,152],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"model":[42,52,86,108,126,134],"in-memory":[49],"processing.":[50],"The":[51,103,125,133],"uses":[53],"Spark":[55],"framework":[56],"to":[57,67,75],"parallelize":[58],"the":[59,73,80,85,107,110,115],"anonymization":[60],"process":[61],"one-time":[64],"clustering":[65],"algorithm":[66],"avoid":[68],"multiple":[69],"iterations":[70],"allocate":[72],"optimal":[76],"clusters.":[77],"We":[78],"evaluate":[79],"performance":[81],"effectiveness":[83],"of":[84],"real-world":[89],"dataset":[90],"compare":[92],"it":[93],"with":[94],"three":[95],"popular":[96],"algorithms:":[98],"CRUE,":[99],"Mean-Shift,":[100],"DBSCAN.":[102],"results":[104],"show":[105],"that":[106],"has":[109],"lowest":[111],"loss":[113],"highest":[116],"quality":[118],"different":[120],"sizes":[122],"k-values.":[124],"scalable,":[128],"robust,":[129],"adaptable,":[130],"flexible.":[132],"can":[135],"provide":[136],"better":[137],"analysis":[144],"while":[145],"protecting":[146],"preventing":[150]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}