{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T14:35:22Z","timestamp":1780497322553,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government","award":["2019R1F1A1063194"],"award-info":[{"award-number":["2019R1F1A1063194"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2019.2962873","type":"journal-article","created":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T02:00:28Z","timestamp":1577757628000},"page":"4338-4350","source":"Crossref","is-referenced-by-count":126,"title":["Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3687-6755","authenticated-orcid":false,"given":"Nishat I.","family":"Mowla","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7323-9213","authenticated-orcid":false,"given":"Nguyen H.","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2814-2070","authenticated-orcid":false,"given":"Inshil","family":"Doh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6045-5192","authenticated-orcid":false,"given":"Kijoon","family":"Chae","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2902862"},{"key":"ref38","year":"0","journal-title":"Federated Aviation Administration Fact Sheet—Small Unmanned Aircraft Regulations (Part)"},{"key":"ref33","author":"punal","year":"2014","journal-title":"CRAWDAD Dataset Uportorwthaachen\/vanetjamming Downloaded From"},{"key":"ref32","article-title":"Dempster-Shafer evidence theory and study of some key problems","author":"lu","year":"2017","journal-title":"Infinite Study"},{"key":"ref31","article-title":"Plan, activity, and intent recognition: Theory and practice","author":"sukthankar","year":"2014","journal-title":"Newnes"},{"key":"ref30","volume":"425","author":"kohlas","year":"2013","journal-title":"A Mathematical Theory of Hints An Approach to the Dempster-Shafer Theory of Evidence"},{"key":"ref37","first-page":"354","article-title":"A unified multi-scale deep convolutional neural network for fast object detection","author":"cai","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref36","first-page":"1","author":"ovtcharov","year":"2015","journal-title":"Accelerating deep convolutional neural networks using specialized hardware"},{"key":"ref35","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural network","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2017.03.009"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2491260.2491262"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICMSAO.2015.7152200"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/FiCloud.2016.20"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/spy2.39"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/MNET.2006.1637931","article-title":"Jamming sensor networks: Attack and defense strategies","volume":"20","author":"xu","year":"2006","journal-title":"IEEE Netw"},{"key":"ref15","first-page":"595","article-title":"The small and silent force multiplier: A swarm UAV—Electronic attack","volume":"70","author":"cevik","year":"2013","journal-title":"J Intell Robotic Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2010.5530755"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2600370"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s16071003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-33936-8_19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761315"},{"key":"ref4","first-page":"13","article-title":"Security issues in flying ad-hoc networks (FANETS)","volume":"9","author":"bekmezci","year":"2016","journal-title":"J Aeronaut Space Technol"},{"key":"ref27","article-title":"Towards federated learning at scale: System design","author":"bonawitz","year":"2019","journal-title":"arXiv 1902 01046"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-013-9959-7"},{"key":"ref6","first-page":"2328","article-title":"Information-theoretic lower bounds for distributed statistical estimation with communication constraints","author":"zhang","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2172\/800792"},{"key":"ref5","first-page":"685","article-title":"Deep learning with elastic averaging SGD","author":"zhang","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref7","first-page":"1223","article-title":"Large scale distributed deep networks","author":"dean","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s18103571"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2681698"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2012.12.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2789466"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12331-3_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1800074"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2018.05.001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2012.6477816"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2887095"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2013.6825185"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2018.8403655"},{"key":"ref44","article-title":"Aero RP performance in highly dynamic airborne networks using 3D Gauss Markov mobility model","author":"rohrer","year":"2011","journal-title":"Proc MILCOM"},{"key":"ref26","article-title":"Federated learning: Strategies for improving communication efficiency","author":"konecny","year":"2016","journal-title":"arXiv 1610 05492"},{"key":"ref43","article-title":"Design and analyis of a 3-d Gauss-Markov mobility model for highly-dynamic air bourne networks","author":"broyles","year":"2010","journal-title":"Proc Int Telemetering Conf"},{"key":"ref25","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2016","journal-title":"arXiv 1602 05629"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08945183.pdf?arnumber=8945183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:35:57Z","timestamp":1641987357000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8945183\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2962873","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}