{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T08:06:13Z","timestamp":1771574773635,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:00:00Z","timestamp":1760400000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:00:00Z","timestamp":1760400000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,14]]},"DOI":"10.1109\/ictc66702.2025.11388324","type":"proceedings-article","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T20:55:29Z","timestamp":1771534529000},"page":"762-765","source":"Crossref","is-referenced-by-count":0,"title":["Generative AI for DTN Initialization: High-Fidelity Time-Series Network Data Synthesis via Denoising Diffusion Models"],"prefix":"10.1109","author":[{"given":"Sangwon","family":"Oh","sequence":"first","affiliation":[{"name":"Chonnam National University,Dept. of Intelligent Electronic and Computer Engineering,Gwangju,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juhyun","family":"Noh","sequence":"additional","affiliation":[{"name":"Chonnam National University,Dept. of Intelligent Electronic and Computer Engineering,Gwangju,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"HoYong","family":"Ryu","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunications Research Institute,Network Research Division,Daejeon,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minsoo","family":"Hahn","sequence":"additional","affiliation":[{"name":"Astana IT University,Dept. of Computational and Data Science,Astana,Kazakhstan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaehyung","family":"Park","sequence":"additional","affiliation":[{"name":"Chonnam National University,Dept. of Intelligent Electronic and Computer Engineering,Gwangju,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinsul","family":"Kim","sequence":"additional","affiliation":[{"name":"Chonnam National University,Dept. of Intelligent Electronic and Computer Engineering,Gwangju,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2010.05.010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2582748"},{"key":"ref3","article-title":"Digital twin: Manufacturing excellence through virtual factory replication","volume-title":"White Paper","author":"Grieves","year":"2014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3531947"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3565265"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3416733"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/564376.564421"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.06.005"},{"key":"ref10","article-title":"Improved techniques for training GANs","volume":"29","author":"Salimans","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref11","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/90.779192"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3015772"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3310046"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref17","article-title":"RCAEval: A benchmark for root cause analysis in microservice systems","author":"Shen","year":"2024"},{"key":"ref18","article-title":"The UCI KDD archive","volume-title":"Dept. Inf. Comput. Sci.","author":"Hettich","year":"1999"},{"key":"ref19","article-title":"Time-series generative adversarial networks","volume":"32","author":"Yoon","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"event":{"name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","location":"Jeju, Korea, Republic of","start":{"date-parts":[[2025,10,14]]},"end":{"date-parts":[[2025,10,17]]}},"container-title":["2025 16th International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11387762\/11387791\/11388324.pdf?arnumber=11388324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T07:13:49Z","timestamp":1771571629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11388324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,14]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/ictc66702.2025.11388324","relation":{},"subject":[],"published":{"date-parts":[[2025,10,14]]}}}