{"id":"https://openalex.org/W4405272025","doi":"https://doi.org/10.1109/icceic64099.2024.10775949","title":"Application Analysis and Development Recommendations for the Generative Adversarial Networks in Enhancing Automobile Data Security","display_name":"Application Analysis and Development Recommendations for the Generative Adversarial Networks in Enhancing Automobile Data Security","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4405272025","doi":"https://doi.org/10.1109/icceic64099.2024.10775949"},"language":"en","primary_location":{"id":"doi:10.1109/icceic64099.2024.10775949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","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/A5053802643","display_name":"Haojie Ji","orcid":"https://orcid.org/0000-0002-1777-5801"},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Ji","raw_affiliation_strings":["State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Vehicle Safety Technology,Chongqing,China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107922671","display_name":"Y. Yao","orcid":"https://orcid.org/0000-0002-5990-4245"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchi Yao","raw_affiliation_strings":["Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029978692","display_name":"Yunpeng Chen","orcid":"https://orcid.org/0000-0002-9830-8980"},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Chen","raw_affiliation_strings":["China Automotive Engineering Research Institute Co., Ltd,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China Automotive Engineering Research Institute Co., Ltd,Chongqing,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459648","display_name":"Peng He","orcid":"https://orcid.org/0000-0003-0094-7213"},"institutions":[{"id":"https://openalex.org/I4210131649","display_name":"China Automotive Engineering Research Institute","ror":"https://ror.org/039jhgf83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng He","raw_affiliation_strings":["China Automotive Engineering Research Institute Co., Ltd,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China Automotive Engineering Research Institute Co., Ltd,Chongqing,China","institution_ids":["https://openalex.org/I4210131649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031857164","display_name":"Jingyan Wang","orcid":"https://orcid.org/0000-0001-5718-0354"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Wang","raw_affiliation_strings":["Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078769857","display_name":"Jiangyue Wang","orcid":"https://orcid.org/0000-0001-6057-512X"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangyue Wang","raw_affiliation_strings":["Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780195","display_name":"Liangliang Tian","orcid":"https://orcid.org/0000-0002-9284-6040"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Tian","raw_affiliation_strings":["Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education, Beijing Information Science &#x0026; Technology University,Key Laboratory of Modern Measurement &#x0026; Control Technology,Beijing,China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053802643"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21951696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8539999723434448,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8539999723434448,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.8452000021934509,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.8187999725341797,"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/adversarial-system","display_name":"Adversarial system","score":0.8188213109970093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404660940170288},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5807101726531982},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.49508562684059143},{"id":"https://openalex.org/keywords/security-analysis","display_name":"Security analysis","score":0.46623703837394714},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4231034517288208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3012309670448303},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.10109049081802368}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8188213109970093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404660940170288},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5807101726531982},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.49508562684059143},{"id":"https://openalex.org/C38369872","wikidata":"https://www.wikidata.org/wiki/Q7445009","display_name":"Security analysis","level":2,"score":0.46623703837394714},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4231034517288208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012309670448303},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.10109049081802368}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceic64099.2024.10775949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","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":26,"referenced_works":["https://openalex.org/W2584009249","https://openalex.org/W2899730059","https://openalex.org/W2914794838","https://openalex.org/W2963312584","https://openalex.org/W2963444790","https://openalex.org/W2964024144","https://openalex.org/W3002421716","https://openalex.org/W3015598833","https://openalex.org/W3015896431","https://openalex.org/W3026885507","https://openalex.org/W3080580366","https://openalex.org/W3096831136","https://openalex.org/W3167297682","https://openalex.org/W3167788848","https://openalex.org/W3173531806","https://openalex.org/W3174525637","https://openalex.org/W3180391059","https://openalex.org/W4293762926","https://openalex.org/W4319031188","https://openalex.org/W4321321579","https://openalex.org/W4327945465","https://openalex.org/W4377140687","https://openalex.org/W4383899489","https://openalex.org/W4386451912","https://openalex.org/W4396542606","https://openalex.org/W4399526966"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"The":[0,74],"security":[1,44],"of":[2,16,30,65,70],"data":[3,43,60,66,72,93],"generated":[4],"by":[5],"vehicles":[6],"during":[7],"operation":[8],"is":[9,80],"critically":[10],"important,":[11],"especially":[12],"as":[13],"the":[14,27,68,86,96],"number":[15],"intelligent":[17],"and":[18,62,82,89,95],"connected":[19],"vehicle":[20],"users":[21],"continues":[22],"to":[23,26,41,84],"rise,":[24],"leading":[25],"rapid":[28],"increase":[29],"automobile":[31,71],"communication":[32],"data.":[33],"In":[34],"response,":[35],"researchers":[36],"have":[37],"employed":[38],"GAN":[39,78],"s":[40,79],"address":[42],"challenges":[45],"within":[46,67],"this":[47,106],"domain,":[48],"achieving":[49],"significant":[50],"outcomes.":[51],"This":[52],"paper":[53],"primarily":[54],"focuses":[55],"on":[56,77],"personal":[57],"information":[58],"identification,":[59],"desensitization,":[61],"secure":[63],"transmission":[64],"framework":[69],"security.":[73],"latest":[75],"research":[76],"reviewed":[81],"analyzed":[83],"assess":[85],"feasibility,":[87],"strengths,":[88],"limitations":[90],"for":[91],"automotive":[92],"security,":[94],"insights":[97],"into":[98],"future":[99],"development":[100],"recommendations":[101],"are":[102],"also":[103],"provided":[104],"in":[105],"domain.":[107]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
