{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:34:46Z","timestamp":1777566886801,"version":"3.51.4"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"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":[[2021,12,13]]},"DOI":"10.1109\/dyspan53946.2021.9677264","type":"proceedings-article","created":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T20:34:33Z","timestamp":1642710873000},"page":"280-287","source":"Crossref","is-referenced-by-count":19,"title":["IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification"],"prefix":"10.1109","author":[{"given":"Tao","family":"Hou","sequence":"first","affiliation":[]},{"given":"Tao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhuo","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Yao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yalin","family":"Sagduyu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3101692"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.2971213"},{"key":"ref12","article-title":"Iot device identification using deep learning","author":"kotak","year":"2019","journal-title":"Computational Intelligence in Security for Information Systems Conference"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC48107.2020.9148110"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2018.8406218"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP45357.2019.8969428"},{"key":"ref16","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref17","article-title":"Transferability in machine learning: from phenomena to black-box attacks using adversarial samples","author":"papernot","year":"2016"},{"key":"ref18","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"2013"},{"key":"ref19","article-title":"Adversarial deep learning for over-the-air spectrum poisoning attacks","author":"sagduyu","year":"2019","journal-title":"IEEE Transactions on Mobile Computing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FMEC.2019.8795318"},{"key":"ref3","article-title":"Generative adversarial network in the air: Deep adversarial learning for wireless signal spoofing","author":"shi","year":"2020","journal-title":"IEEE Transactions on Cognitive Communications and Networking"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2017.8116438"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s21082660"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761559"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904364"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2007.4292831"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155255"},{"key":"ref1","article-title":"Internet of things","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813709"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2012.6195669"},{"key":"ref21","article-title":"Signal entanglement based pinpoint waveforming for location-restricted service access control","author":"wang","year":"2016","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"ref24","article-title":"Classifying iot devices in smart environments using network traffic characteristics","author":"sivanathan","year":"2018","journal-title":"IEEE TMC"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2010.189"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1925861.1925870"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3350276"}],"event":{"name":"2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","location":"Los Angeles, CA, USA","start":{"date-parts":[[2021,12,13]]},"end":{"date-parts":[[2021,12,15]]}},"container-title":["2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9677035\/9677043\/09677264.pdf?arnumber=9677264","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:47Z","timestamp":1652201867000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9677264\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,13]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/dyspan53946.2021.9677264","relation":{},"subject":[],"published":{"date-parts":[[2021,12,13]]}}}