{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T18:10:32Z","timestamp":1772647832330,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T00:00:00Z","timestamp":1686700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,14]]},"DOI":"10.1145\/3593434.3593967","type":"proceedings-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T12:54:01Z","timestamp":1685451241000},"page":"493-498","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9031-9917","authenticated-orcid":false,"given":"Dorieh","family":"Alomari","sequence":"first","affiliation":[{"name":"Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4916-8977","authenticated-orcid":false,"given":"Fatima","family":"Anis","sequence":"additional","affiliation":[{"name":"Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3479-2058","authenticated-orcid":false,"given":"Maryam","family":"Alabdullatif","sequence":"additional","affiliation":[{"name":"Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi Arabia and Imam Abdul Rahman bin Faisal University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2146-9348","authenticated-orcid":false,"given":"Hamoud","family":"Aljamaan","sequence":"additional","affiliation":[{"name":"Information and Computer Science Department, King Fahd University of Petroleum and Minerals, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.11.082"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21217070"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-022-01020-5"},{"key":"e_1_3_2_1_4_1","volume-title":"Distributed denial of service attack prediction: Challenges, open issues and opportunities. Computer Networks","author":"de Neira Anderson\u00a0Bergamini","year":"2023","unstructured":"Anderson\u00a0Bergamini de Neira, Burak Kantarci, and Michele Nogueira. 2023. Distributed denial of service attack prediction: Challenges, open issues and opportunities. Computer Networks (2023), 109553."},{"key":"e_1_3_2_1_5_1","unstructured":"Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"e_1_3_2_1_6_1","volume-title":"An empirical comparison of botnet detection methods. computers & security 45","author":"Garcia Sebastian","year":"2014","unstructured":"Sebastian Garcia, Martin Grill, Jan Stiborek, and Alejandro Zunino. 2014. An empirical comparison of botnet detection methods. computers & security 45 (2014), 100\u2013123."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3168533"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2021.06.018"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.05.041"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2018.03367731"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2023.01.119"},{"key":"e_1_3_2_1_12_1","volume-title":"UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set). In 2015 military communications and information systems conference (MilCIS)","author":"Moustafa Nour","unstructured":"Nour Moustafa and Jill Slay. 2015. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set). In 2015 military communications and information systems conference (MilCIS). IEEE, 1\u20136."},{"key":"e_1_3_2_1_13_1","volume-title":"Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches. Wireless Communications and Mobile Computing 2022","author":"Mudassir Mohammed","year":"2022","unstructured":"Mohammed Mudassir, Devrim Unal, Mohammad Hammoudeh, and Farag Azzedin. 2022. Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches. Wireless Communications and Mobile Computing 2022 (2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22249837"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-8742-7_8"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3034156"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC.2017.8024637"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/sym13050866"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20164372"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2016.2584050"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi13080198"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-019-00310-w"},{"key":"e_1_3_2_1_23_1","volume-title":"Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection\u2013An Analysis on CIC-AWS-2018 dataset. arXiv preprint arXiv:1905.03685","author":"Zhou Qianru","year":"2019","unstructured":"Qianru Zhou and Dimitrios Pezaros. 2019. Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection\u2013An Analysis on CIC-AWS-2018 dataset. arXiv preprint arXiv:1905.03685 (2019)."}],"event":{"name":"EASE '23: The International Conference on Evaluation and Assessment in Software Engineering","location":"Oulu Finland","acronym":"EASE '23"},"container-title":["Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593434.3593967","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3593434.3593967","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:08:37Z","timestamp":1755846517000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593434.3593967"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,14]]},"references-count":23,"alternative-id":["10.1145\/3593434.3593967","10.1145\/3593434"],"URL":"https:\/\/doi.org\/10.1145\/3593434.3593967","relation":{},"subject":[],"published":{"date-parts":[[2023,6,14]]},"assertion":[{"value":"2023-06-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}