{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:38Z","timestamp":1755907658555,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:00:00Z","timestamp":1714089600000},"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":[[2024,4,26]]},"DOI":"10.1145\/3669754.3669813","type":"proceedings-article","created":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T18:32:24Z","timestamp":1725042744000},"page":"387-392","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Intrusion Detection System Focused on Deep Learning for Mobile IoT Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3816-9779","authenticated-orcid":false,"given":"Abdullah","family":"Aljumah","sequence":"first","affiliation":[{"name":"College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4525-0738","authenticated-orcid":false,"given":"Tariq Ahamed","family":"Ahanger","sequence":"additional","affiliation":[{"name":"MIS department, Prince Sattam Bin Abdulaziz University, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Advanced Information Technology, Services and Systems. Springer, 362\u2013373","author":"Alaoui Safae\u00a0Sossi","year":"2017","unstructured":"Safae\u00a0Sossi Alaoui, Yousef Farhaoui, and Brahim Aksasse. 2017. A comparative study of the four well-known classification algorithms in data mining. In International Conference on Advanced Information Technology, Services and Systems. Springer, 362\u2013373."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.1109\/ACCESS.2018.2820092"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1016\/j.jocs.2017.03.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1016\/j.simpat.2019.102031"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1109\/SISY.2017.8080566"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1016\/j.adhoc.2019.02.001"},{"unstructured":"Amar Amouri. 2019. Cross Layer-Based Intrusion Detection System Using Machine Learning for MANETs. (2019).","key":"e_1_3_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1109\/TSUSC.2018.2809665"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1007\/s10916-016-0547-9"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1016\/j.compind.2017.06.009"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1016\/j.compeleceng.2017.07.018"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1007\/s11036-018-0991-5"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1109\/JIOT.2020.2979887"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1016\/j.compind.2019.06.002"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/ICSCN.2007.350763"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1109\/MILCOM.2005.1605939"},{"key":"e_1_3_2_1_17_1","volume-title":"Ensemble methods for anomaly detection and distributed intrusion detection in mobile ad-hoc networks. Information fusion 9, 1","author":"Cabrera BD","year":"2008","unstructured":"Jo\u00e3o\u00a0BD Cabrera, Carlos Guti\u00e9rrez, and Raman\u00a0K Mehra. 2008. Ensemble methods for anomaly detection and distributed intrusion detection in mobile ad-hoc networks. Information fusion 9, 1 (2008), 96\u2013119."},{"key":"e_1_3_2_1_18_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 149\u2013158","author":"Chawla Ashima","year":"2018","unstructured":"Ashima Chawla, Brian Lee, Sheila Fallon, and Paul Jacob. 2018. Host based intrusion detection system with combined CNN\/RNN model. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 149\u2013158."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/SPW.2018.00013"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1016\/j.comnet.2018.02.028"},{"key":"e_1_3_2_1_21_1","volume-title":"Network intrusion detection system based on recursive feature addition and bigram technique. computers & security 73","author":"Hamed Tarfa","year":"2018","unstructured":"Tarfa Hamed, Rozita Dara, and Stefan\u00a0C Kremer. 2018. Network intrusion detection system based on recursive feature addition and bigram technique. computers & security 73 (2018), 137\u2013155."},{"key":"e_1_3_2_1_22_1","volume-title":"A taxonomy and survey of intrusion detection system design techniques, network threats and datasets. arXiv preprint arXiv:1806.03517","author":"Hindy Hanan","year":"2018","unstructured":"Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Christos Tachtatzis, Robert Atkinson, and Xavier Bellekens. 2018. A taxonomy and survey of intrusion detection system design techniques, network threats and datasets. arXiv preprint arXiv:1806.03517 (2018)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1016\/j.procs.2018.01.095"},{"key":"e_1_3_2_1_24_1","volume-title":"Detecting blackhole attack on AODV-based mobile ad hoc networks by dynamic learning method.IJ Network Security 5, 3","author":"Kurosawa Satoshi","year":"2007","unstructured":"Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato, Abbas Jamalipour, and Yoshiaki Nemoto. 2007. Detecting blackhole attack on AODV-based mobile ad hoc networks by dynamic learning method.IJ Network Security 5, 3 (2007), 338\u2013346."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1016\/j.ijinfomgt.2019.04.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1016\/j.eswa.2017.07.005"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1016\/j.jksuci.2018.03.011"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1016\/j.adhoc.2012.05.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1109\/PERSER.2007.4283901"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_30_1","DOI":"10.1007\/s11276-016-1439-0"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1016\/j.cose.2018.06.008"},{"key":"e_1_3_2_1_32_1","volume-title":"2017 International Conference on System Science and Engineering (ICSSE). IEEE, 210\u2013214","author":"Van Nguyen\u00a0Thanh","year":"2017","unstructured":"Nguyen\u00a0Thanh Van, Tran\u00a0Ngoc Thinh, 2017. An anomaly-based network intrusion detection system using deep learning. In 2017 International Conference on System Science and Engineering (ICSSE). IEEE, 210\u2013214."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1109\/ACCESS.2019.2895334"},{"key":"e_1_3_2_1_34_1","volume-title":"A network intrusion detection system based on convolutional neural network. Journal of Intelligent & Fuzzy SystemsPreprint","author":"Wang Hui","year":"2019","unstructured":"Hui Wang, Zijian Cao, and Bo Hong. 2019. A network intrusion detection system based on convolutional neural network. Journal of Intelligent & Fuzzy SystemsPreprint (2019), 1\u201315."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1109\/ACCESS.2018.2867564"}],"event":{"acronym":"ICCAI 2024","name":"ICCAI 2024: 2024 10th International Conference on Computing and Artificial Intelligence","location":"Bali Island Indonesia"},"container-title":["Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3669754.3669813","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3669754.3669813","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:13:53Z","timestamp":1755875633000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3669754.3669813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,26]]},"references-count":35,"alternative-id":["10.1145\/3669754.3669813","10.1145\/3669754"],"URL":"https:\/\/doi.org\/10.1145\/3669754.3669813","relation":{},"subject":[],"published":{"date-parts":[[2024,4,26]]},"assertion":[{"value":"2024-08-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}