{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T18:29:02Z","timestamp":1766773742447,"version":"3.48.0"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62422216"],"award-info":[{"award-number":["62422216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402279"],"award-info":[{"award-number":["62402279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62320106006"],"award-info":[{"award-number":["62320106006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Central South University Innovation-Driven Research Program","award":["2023CXQD029"],"award-info":[{"award-number":["2023CXQD029"]}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["B18059"],"award-info":[{"award-number":["B18059"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2024JJ5268"],"award-info":[{"award-number":["2024JJ5268"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hunan Province Education Science Planning Project","award":["XJK23ACJ004"],"award-info":[{"award-number":["XJK23ACJ004"]}]},{"name":"China National Postdoctoral Program for Innovative Talent","award":["BX20250375"],"award-info":[{"award-number":["BX20250375"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025M771503"],"award-info":[{"award-number":["2025M771503"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tnse.2025.3604790","type":"journal-article","created":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:31:54Z","timestamp":1756755114000},"page":"3739-3755","source":"Crossref","is-referenced-by-count":0,"title":["AttrAppGen: User Attribute-Aware App Usage Trace Generation With Large Language Models"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0354-1066","authenticated-orcid":false,"given":"Sijing","family":"Duan","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0365-3715","authenticated-orcid":false,"given":"Wenxiong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Hunan Normal University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songlin","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Hunan Normal University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2990-5415","authenticated-orcid":false,"given":"Feng","family":"Lyu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6717-461X","authenticated-orcid":false,"given":"Yaoxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"How many people own smartphones?(2024-2029)","year":"2025","author":"Howarth","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3163176"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4135\/9781529782493.n12"},{"article-title":"How Many Apps Are in the Google Play Store in 2025? A Look at the Mobile Landscape","year":"2025","author":"Khanachivskyi","key":"ref4"},{"article-title":"Apple app store statistics 2025: Key insights and trends","year":"2025","author":"Azam","key":"ref5"},{"article-title":"Top 60 mobile internet traffic stats to know in 2025","year":"2025","author":"Hooda","key":"ref6"},{"article-title":"Internet traffic from mobile devices (Feb. 2025)","year":"2025","author":"Howarth","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-023-00980-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3659597"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2025.3535577"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2024.3455784"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3442201"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-018-0864-z"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM52923.2024.10901834"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2025.3556390"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2023.00.264"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ton.2025.3586010"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2025.3605939"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3699730"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2022.00.031"},{"issue":"1","key":"ref21","first-page":"149","article-title":"Privacy-preserving data sharing in Big Data analytics: A distributed computing approach","volume":"1","author":"Pasham","year":"2023","journal-title":"Metascience"},{"article-title":"Top cybersecurity statistics for 2025","year":"2025","author":"Fox","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3545437"},{"article-title":"Tabular data synthesis with differential privacy: A survey","year":"2024","author":"Yang","key":"ref24"},{"article-title":"Leveraging large language models for privacy-preserving synthetic data generation using differential privacy","year":"2024","author":"Nahid","key":"ref25"},{"article-title":"A survey of data synthesis approaches","year":"2024","author":"Chang","key":"ref26"},{"issue":"1","key":"ref27","first-page":"1","article-title":"Survey on the research progress of generative adversarial networks for 6 G","volume":"8","author":"Meng","year":"2024","journal-title":"Chin. J. Internet Things"},{"key":"ref28","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3664655"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599801"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3527966"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3676870"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87839-9_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3419394.3423643"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3426600"},{"issue":"1","key":"ref36","first-page":"1","article-title":"Survey on the research progress of generative adversarial networks for 6G","volume":"8","author":"Meng","year":"2024","journal-title":"Chin. J. Internet Things"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2025.3567613"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2025.3558992"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2024.3482327"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737226"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.658"},{"article-title":"A comprehensive survey of synthetic tabular data generation","year":"2025","author":"Shi","key":"ref42"},{"article-title":"Language modeling on tabular data: A survey of foundations, techniques and evolution","year":"2024","author":"Ruan","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3021987"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121564"},{"key":"ref46","first-page":"5535","article-title":"Pre-training general user representation with multi-type app behaviors","volume-title":"Proc. 23rd Int. Joint Conf. Artif. Intell.","author":"Zhang","year":"2024"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3098664"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3597212"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/tnse.2021.3131194"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2500052"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-0811-9_24"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671567"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3532992"},{"article-title":"Atten-transformer: A deep learning framework for user app usage prediction","year":"2025","author":"Li","key":"ref54"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43427-3_7"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544251"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511976"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICMC60390.2024.00008"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/jcp3030030"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/info15110697"},{"article-title":"Differentially private tabular data synthesis using large language models","year":"2024","author":"Tran","key":"ref62"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10826053"},{"article-title":"Differentially private synthetic data via foundation model APIs","year":"2024","author":"Xie","key":"ref64"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3179"},{"key":"ref66","doi-asserted-by":"crossref","DOI":"10.2139\/ssrn.5183709","article-title":"LLM-TabFlow: Synthetic tabular data generation with inter-column logical relationship preservation","author":"Long","year":"2025"},{"article-title":"Differentially private synthetic data generation using large language models","year":"2024","author":"Khalil","key":"ref67"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218526"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971696"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/MASS.2017.89"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3264948"},{"article-title":"Language models are realistic tabular data generators","year":"2022","author":"Borisov","key":"ref72"},{"key":"ref73","first-page":"17564","article-title":"TabDDPM: Modelling tabular data with diffusion models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kotelnikov","year":"2023"},{"key":"ref74","first-page":"7335","article-title":"Modeling tabular data using conditional GAN","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu","year":"2019"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.54254\/2755-2721\/64\/20241365"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.46852\/0424-2513.3.2024.25"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2016.1198547"},{"key":"ref78","first-page":"97","article-title":"CTAB-GAN: Effective table data synthesizing","volume-title":"Proc. Asian Conf. Mach. Learn.","author":"Zhao","year":"2021"},{"journal-title":"","article-title":"Synthetic data metrics","year":"2023","key":"ref79"},{"article-title":"China telecom privacy policy statement","year":"2023","author":"Telecom","key":"ref80"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488902\/11264281\/11146412.pdf?arnumber=11146412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T18:24:57Z","timestamp":1766773497000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11146412\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/tnse.2025.3604790","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"type":"electronic","value":"2327-4697"},{"type":"electronic","value":"2334-329X"}],"subject":[],"published":{"date-parts":[[2026]]}}}