{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T02:12:34Z","timestamp":1775873554358,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3123791","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T19:43:32Z","timestamp":1635363812000},"page":"146810-146821","source":"Crossref","is-referenced-by-count":154,"title":["AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2504-0829","authenticated-orcid":false,"given":"Yuanyuan","family":"Wei","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1002-057X","authenticated-orcid":false,"given":"Julian","family":"Jang-Jaccard","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8455-2499","authenticated-orcid":false,"given":"Fariza","family":"Sabrina","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1916-3347","authenticated-orcid":false,"given":"Amardeep","family":"Singh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0558-9558","authenticated-orcid":false,"given":"Wen","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6353-8359","authenticated-orcid":false,"given":"Seyit","family":"Camtepe","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3043421"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36802-9_20"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04224-0_19"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024991"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/SAS.2018.8336758"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/APWConCSE.2017.00046"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/APWConCSE.2017.00045"},{"key":"ref34","article-title":"MSD-kmeans: A novel algorithm for efficient detection of global and local outliers","author":"wei","year":"2019","journal-title":"arXiv 1910 06588"},{"key":"ref10","first-page":"129","article-title":"Ensemble learning methods for anomaly intrusion detection system in smart grid","author":"khoei","year":"2021","journal-title":"Proc IEEE Int Conf Electro Inf Technol (EIT)"},{"key":"ref11","first-page":"1","article-title":"Research application of ensemble machine learning methods to the problem of multiclass classification of DDoS attacks identification","author":"parfenov","year":"2020","journal-title":"Proc Int Conf Eng Telecommun (En&T)"},{"key":"ref12","first-page":"402","article-title":"Evaluating ML-based DDoS detection with grid search hyperparameter optimization","author":"sanchez","year":"2021","journal-title":"Proc IEEE 7th Int Conf Netw Softwarization (NetSoft)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3078065"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3075503"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/app11115213"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.01.022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-021-01323-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-33-6173-7_6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WoWMoM49955.2020.00072"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3054688"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2019.8888419"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"4396","DOI":"10.3390\/app9204396","article-title":"Machine learning and deep learning methods for intrusion detection systems: A survey","volume":"9","author":"liu","year":"2019","journal-title":"Appl Sci"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2017.7946998"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056614"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2020.106738"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s21041174"},{"key":"ref8","first-page":"138","article-title":"Evaluation of classification algorithms for distributed denial of service attack detection","author":"gohil","year":"2020","journal-title":"Proc IEEE 3rd Int Conf Artif Intell Knowl Eng (AIKE)"},{"key":"ref7","first-page":"134","article-title":"A technique for generating a botnet dataset for anomalous activity detection in IoT networks","author":"ullah","year":"2020","journal-title":"Proc IEEE Int Conf Syst Man Cybern (SMC)"},{"key":"ref2","first-page":"386","article-title":"Detection of distributed denial of service attacks using automatic feature selection with enhancement for imbalance dataset","author":"can","year":"2021","journal-title":"Proc of ACII"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3033942"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/997150.997156"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4108\/eai.3-12-2015.2262516"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICECOS.2018.8605181"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3022855"},{"key":"ref24","article-title":"Deep reinforcement learning for cyber security","author":"nguyen","year":"2019","journal-title":"arXiv 1906 05799"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-020-10383-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.101663"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09591559.pdf?arnumber=9591559","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T22:22:04Z","timestamp":1645482124000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9591559\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3123791","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}