{"id":"https://openalex.org/W4389145485","doi":"https://doi.org/10.7717/peerj-cs.1690","title":"Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm","display_name":"Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389145485","doi":"https://doi.org/10.7717/peerj-cs.1690","pmid":"https://pubmed.ncbi.nlm.nih.gov/38077578"},"language":"en","primary_location":{"id":"doi:10.7717/peerj-cs.1690","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1690","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7717/peerj-cs.1690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060351084","display_name":"Jun Cui","orcid":"https://orcid.org/0000-0002-0264-1974"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cui","raw_affiliation_strings":["Business School, Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053349677","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-3355-0063"},"institutions":[{"id":"https://openalex.org/I4403386517","display_name":"Southwest Jiaotong University Hope College","ror":"https://ror.org/01yymex05","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386517","https://openalex.org/I4800084"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Southwest\u00a0Jiaotong\u00a0University\u00a0Hope\u00a0College, Cheng\u00a0Du, Si\u00a0Chuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest\u00a0Jiaotong\u00a0University\u00a0Hope\u00a0College, Cheng\u00a0Du, Si\u00a0Chuan, China","institution_ids":["https://openalex.org/I4800084","https://openalex.org/I4403386517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101336080","display_name":"Zhendan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendan Xu","raw_affiliation_strings":["School\u00a0of\u00a0Management, Zhejiang\u00a0University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School\u00a0of\u00a0Management, Zhejiang\u00a0University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1395,"currency":"USD","value_usd":1395},"apc_paid":{"value":1395,"currency":"USD","value_usd":1395},"fwci":1.2941,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85667947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"e1690","last_page":"e1690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9753000140190125,"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"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9678999781608582,"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/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.9332033395767212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744699716567993},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7126063108444214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47330987453460693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46440860629081726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36825260519981384},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32872724533081055},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17484238743782043}],"concepts":[{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.9332033395767212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744699716567993},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7126063108444214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47330987453460693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46440860629081726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36825260519981384},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32872724533081055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17484238743782043}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.7717/peerj-cs.1690","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1690","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},{"id":"pmid:38077578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38077578","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ. Computer science","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10703031","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10703031","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10703031/pdf/peerj-cs-09-1690.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PeerJ Comput Sci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:20b1913f74cd4d9aad422aab7b55e24c","is_oa":true,"landing_page_url":"https://doaj.org/article/20b1913f74cd4d9aad422aab7b55e24c","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":"PeerJ Computer Science, Vol 9, p e1690 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7717/peerj-cs.1690","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1690","pdf_url":null,"source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2791838709","https://openalex.org/W2802240654","https://openalex.org/W2808706611","https://openalex.org/W2901469102","https://openalex.org/W2903536544","https://openalex.org/W2946322152","https://openalex.org/W2964318349","https://openalex.org/W2970258909","https://openalex.org/W2997690738","https://openalex.org/W2998019206","https://openalex.org/W3006531732","https://openalex.org/W3013632887","https://openalex.org/W3037682562","https://openalex.org/W3090132388","https://openalex.org/W3090949167","https://openalex.org/W3094948551","https://openalex.org/W3098223835","https://openalex.org/W3128812886","https://openalex.org/W3129849828","https://openalex.org/W3132703318","https://openalex.org/W3134210339","https://openalex.org/W3138657417","https://openalex.org/W3167617779","https://openalex.org/W3173128495","https://openalex.org/W4224245284","https://openalex.org/W4315871655","https://openalex.org/W4360765397","https://openalex.org/W4378839624","https://openalex.org/W4381943457","https://openalex.org/W6752574770","https://openalex.org/W6756592279","https://openalex.org/W6767425041","https://openalex.org/W6784700631","https://openalex.org/W6785480147","https://openalex.org/W6790831588","https://openalex.org/W6791245418","https://openalex.org/W6796651526","https://openalex.org/W6850700872"],"related_works":["https://openalex.org/W2539930818","https://openalex.org/W4390664647","https://openalex.org/W3012147850","https://openalex.org/W4313300189","https://openalex.org/W2949835517","https://openalex.org/W2601739120","https://openalex.org/W4256358502","https://openalex.org/W2625655658","https://openalex.org/W2771047361","https://openalex.org/W2403663234"],"abstract_inverted_index":{"This":[0,64,100],"article":[1],"endeavors":[2],"to":[3,25,85,108,183],"delve":[4],"into":[5,59],"the":[6,29,35,47,54,60,69,77,86,95,103,115,122,130,135,143,192,203],"conceptualization":[7],"of":[8,34,56,71,97,105,114,124,134,146,151,160,169,194],"a":[9,148],"digital":[10,195],"marketing":[11,196],"framework":[12],"grounded":[13],"in":[14,68,121,179,191],"consumer":[15],"data":[16,41,75],"and":[17,27,157,172,198],"homomorphic":[18,88,106,164],"encryption.":[19],"The":[20,112,162],"methodology":[21],"entails":[22],"employing":[23],"GridSearch":[24],"harmonize":[26],"store":[28],"leaf":[30,39,57],"nodes":[31,58],"acquired":[32],"post-training":[33],"CatBoost":[36],"model.":[37],"These":[38],"node":[40],"subsequently":[42],"serve":[43],"as":[44],"inputs":[45],"for":[46,153],"radial":[48],"basis":[49],"function":[50],"(RBF)":[51],"layer,":[52],"facilitating":[53,180],"mapping":[55],"hidden":[61],"layer":[62],"space.":[63],"sequential":[65],"process":[66],"culminates":[67],"classification":[70,149],"user":[72],"online":[73,154],"consumption":[74,98,155],"within":[76,202],"output":[78],"layer.":[79],"Furthermore,":[80],"an":[81,139,158],"enhancement":[82],"is":[83,119],"introduced":[84],"conventional":[87],"encryption":[89,107,165],"algorithm,":[90],"bolstering":[91],"privacy":[92],"preservation":[93],"throughout":[94],"processing":[96],"data.":[99],"augmentation":[101],"broadens":[102],"applicability":[104],"encompass":[109],"rational":[110],"numbers.":[111],"integration":[113],"Chinese":[116],"Remainder":[117],"Theorem":[118],"instrumental":[120],"decryption":[123],"consumption-related":[125],"information.":[126],"Empirical":[127],"findings":[128],"unveil":[129],"exceptional":[131],"generalization":[132],"performance":[133],"amalgamated":[136],"model,":[137],"exemplifying":[138],"AUC":[140],"(area":[141],"under":[142],"curve)":[144],"value":[145],"0.66,":[147],"accuracy":[150],"98.56%":[152],"data,":[156],"F1-score":[159],"98.41.":[161],"enhanced":[163],"algorithm":[166],"boasts":[167],"attributes":[168],"stability,":[170],"security,":[171],"efficiency,":[173],"thus":[174],"fortifying":[175],"our":[176],"proposed":[177],"solution":[178],"companies'":[181],"access":[182],"precise,":[184],"real-time":[185],"market":[186],"insights.":[187],"Consequently,":[188],"this":[189],"aids":[190],"optimization":[193],"strategies":[197],"enables":[199],"pinpoint":[200],"positioning":[201],"target":[204],"market.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}