{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T15:42:26Z","timestamp":1782229346850,"version":"3.54.5"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Netw Syst Manage"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s10922-024-09829-5","type":"journal-article","created":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T17:01:35Z","timestamp":1717952495000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["AI-Based Intrusion Detection for a Secure Internet of Things (IoT)"],"prefix":"10.1007","volume":"32","author":[{"given":"Reham","family":"Aljohani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anas","family":"Bushnag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Alessa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,9]]},"reference":[{"issue":"4","key":"9829_CR1","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1109\/MCOM.2015.7081071","volume":"53","author":"N Yang","year":"2015","unstructured":"Yang, N., Wang, L., Geraci, G., Elkashlan, M., Yuan, J., Di Renzo, M.: Safeguarding 5G wireless communication networks using physical layer security. IEEE Commun. Mag. 53(4), 20\u201327 (2015)","journal-title":"IEEE Commun. Mag."},{"issue":"9","key":"9829_CR2","first-page":"9558","volume":"69","author":"L Wang","year":"2020","unstructured":"Wang, L., Geraci, G.: Physical-layer security in wireless communication networks: a review. IEEE Trans. Veh. Technol. 69(9), 9558\u20139576 (2020)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"9829_CR3","doi-asserted-by":"crossref","unstructured":"Fayssal, S., Hariri, S., Al-Nashif, Y.: Anomaly-based behavior analysis of wireless network security. In: 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (Mobiquitous) (2007). IEEE","DOI":"10.1109\/MOBIQ.2007.4451054"},{"key":"9829_CR4","doi-asserted-by":"crossref","unstructured":"Gaur, P., Tahiliani, M.: Operating systems for IoT devices: a critical survey. In: 2015 IEEE Region 10 Symposium, pp. 397\u2013400 (2015). IEEE","DOI":"10.1109\/TENSYMP.2015.17"},{"issue":"2","key":"9829_CR5","first-page":"307","volume":"28","author":"L Luo","year":"2020","unstructured":"Luo, L., Zhang, W., Li, Y., Li, W.: A survey on IoT operating systems towards the convergence of IoT and cloud computing. J. Netw. Syst. Manag. 28(2), 307\u2013332 (2020)","journal-title":"J. Netw. Syst. Manag."},{"issue":"15","key":"9829_CR6","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","volume":"54","author":"L Atzori","year":"2010","unstructured":"Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787\u20132805 (2010)","journal-title":"Comput. Netw."},{"key":"9829_CR7","first-page":"23","volume":"84","author":"MM Abbasi","year":"2017","unstructured":"Abbasi, M.M., Ayatollahitafti, M., Asadpour, M.: A survey of internet of things platforms. J. Netw. Comput. Appl. 84, 23\u201344 (2017)","journal-title":"J. Netw. Comput. Appl."},{"issue":"5","key":"9829_CR8","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1109\/JIOT.2017.2683200","volume":"4","author":"J Lin","year":"2017","unstructured":"Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., Zhao, W.: A survey on internet of things: architecture, enabling technologies, security and privacy, and applications. IEEE Internet Things J. 4(5), 1125\u20131142 (2017)","journal-title":"IEEE Internet Things J."},{"key":"9829_CR9","volume":"108","author":"T Rasheed","year":"2021","unstructured":"Rasheed, T., Imran, M., Afzal, M.K.: Internet of things (IoT) network security: a comprehensive survey. Comput. Secur. 108, 102234 (2021)","journal-title":"Comput. Secur."},{"key":"9829_CR10","volume":"183","author":"MS Hossain","year":"2021","unstructured":"Hossain, M.S., Muhammad, G.: Internet of things (IoT) data management: a comprehensive survey. J. Netw. Comput. Appl. 183, 103056 (2021)","journal-title":"J. Netw. Comput. Appl."},{"issue":"2","key":"9829_CR11","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/MCE.2019.2953740","volume":"9","author":"T Alladi","year":"2020","unstructured":"Alladi, T., Chamola, V., Sikdar, B., Choo, K.-K.R.: Consumer IoT: security vulnerability case studies and solutions. IEEE Consum. Electron. Mag. 9(2), 17\u201325 (2020)","journal-title":"IEEE Consum. Electron. Mag."},{"issue":"12","key":"9829_CR12","doi-asserted-by":"publisher","first-page":"24188","DOI":"10.3390\/s141224188","volume":"14","author":"D Oh","year":"2014","unstructured":"Oh, D., Kim, D., Ro, W.W.: A malicious pattern detection engine for embedded security systems in the internet of things. Sensors 14(12), 24188\u201324211 (2014)","journal-title":"Sensors"},{"issue":"4","key":"9829_CR13","first-page":"1665","volume":"11","author":"I Al-Qerm","year":"2020","unstructured":"Al-Qerm, I., Al-Odat, Z., Khasawneh, N.: Anomaly-based intrusion detection system for internet of things using machine learning algorithms. J. Ambient. Intell. Humaniz. Comput. 11(4), 1665\u20131678 (2020)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"9829_CR14","first-page":"56","volume":"126","author":"MH Bhuyan","year":"2019","unstructured":"Bhuyan, M.H., Bhattacharyya, D., Kalita, J.K., Jukan, A.: A survey on internet of things security: application areas, security threats, and solution architectures. J. Netw. Comput. Appl. 126, 56\u201382 (2019)","journal-title":"J. Netw. Comput. Appl."},{"issue":"7","key":"9829_CR15","first-page":"2779","volume":"10","author":"T Chen","year":"2019","unstructured":"Chen, T., Liu, X.: An anomaly detection scheme for internet of things based on deep learning. J. Ambient. Intell. Humaniz. Comput. 10(7), 2779\u20132789 (2019)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"2","key":"9829_CR16","first-page":"91","volume":"5","author":"T Sherasiya","year":"2016","unstructured":"Sherasiya, T., Upadhyay, H., Patel, H.B.: A survey: intrusion detection system for internet of things. Int. J. Comput. Sci. Eng. 5(2), 91\u201398 (2016)","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"9829_CR17","doi-asserted-by":"crossref","first-page":"4428","DOI":"10.1109\/ACCESS.2019.2950849","volume":"7","author":"A Razaque","year":"2019","unstructured":"Razaque, A., Rehmani, M.H., Amin, Y.: Integration of artificial intelligence with internet of things: a comprehensive survey. IEEE Access 7, 4428\u20134453 (2019)","journal-title":"IEEE Access"},{"key":"9829_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.technovation.2019.06.001","volume":"89","author":"L Benamar","year":"2020","unstructured":"Benamar, L., Balagu\u2019e, C., Zhong, Z.: Internet of things devices appropriation process: the dynamic interactions value appropriation (DIVA) framework. Technovation 89, 102082 (2020)","journal-title":"Technovation"},{"issue":"1","key":"9829_CR19","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/TCE.2019.2896872","volume":"65","author":"A Chauhan","year":"2019","unstructured":"Chauhan, A., Mohapatra, S.: User-centric model for personalized energy management in smart homes. IEEE Trans. Consum. Electron. 65(1), 37\u201345 (2019). https:\/\/doi.org\/10.1109\/TCE.2019.2896872","journal-title":"IEEE Trans. Consum. Electron."},{"key":"9829_CR20","doi-asserted-by":"publisher","DOI":"10.1108\/JSTP-08-2018-0193","author":"C-H Liao","year":"2019","unstructured":"Liao, C.-H., Humphreys, L.: Factors influencing consumer adoption of IoT wearable technology. J. Serv. Theory Pract. (2019). https:\/\/doi.org\/10.1108\/JSTP-08-2018-0193","journal-title":"J. Serv. Theory Pract."},{"key":"9829_CR21","doi-asserted-by":"publisher","first-page":"165878","DOI":"10.1109\/ACCESS.2020.3030306","volume":"8","author":"F Xia","year":"2020","unstructured":"Xia, F., Yang, L.T., Wang, L., Vinel, A.: Internet of things. IEEE Access 8, 165878\u2013165882 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3030306","journal-title":"IEEE Access"},{"issue":"1","key":"9829_CR22","first-page":"623","volume":"8","author":"S Hu","year":"2021","unstructured":"Hu, S., Wu, J., Deng, Z., Hu, J.: A novel lightweight anomaly detection method for the internet of things. IEEE Internet Things J. 8(1), 623\u2013634 (2021)","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"9829_CR23","first-page":"771","volume":"11","author":"X Guo","year":"2020","unstructured":"Guo, X., Zhao, L., Lin, X.: An IoT intrusion detection system based on machine learning and software defined networking. J. Ambient. Intell. Humaniz. Comput. 11(2), 771\u2013785 (2020)","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"1","key":"9829_CR24","first-page":"76","volume":"4","author":"A Rehman","year":"2019","unstructured":"Rehman, A., Muhammad, K., Umer, T., Ahmed, S., Asghar, S.: A machine learning based intrusion detection system for internet of things. Future Comput. Inform. J. 4(1), 76\u201386 (2019)","journal-title":"Future Comput. Inform. J."},{"issue":"1","key":"9829_CR25","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/s10462-021-10037-9","volume":"55","author":"A Thakkar","year":"2022","unstructured":"Thakkar, A., Lohiya, R.: A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions. Artif. Intell. Rev. 55(1), 453\u2013563 (2022)","journal-title":"Artif. Intell. Rev."},{"key":"9829_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.107810","volume":"99","author":"T Saba","year":"2022","unstructured":"Saba, T., Rehman, A., Sadad, T., Kolivand, H., Bahaj, S.A.: Anomaly-based intrusion detection system for IoT networks through deep learning model. Comput. Electr. Eng. 99, 107810 (2022)","journal-title":"Comput. Electr. Eng."},{"issue":"21","key":"9829_CR27","doi-asserted-by":"publisher","first-page":"12029","DOI":"10.3390\/app132112029","volume":"13","author":"M Zakariah","year":"2023","unstructured":"Zakariah, M., Almazyad, A.S.: Anomaly detection for IoT systems using active learning. Appl. Sci. 13(21), 12029 (2023)","journal-title":"Appl. Sci."},{"issue":"4","key":"9829_CR28","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.3390\/app13042479","volume":"13","author":"JB Awotunde","year":"2023","unstructured":"Awotunde, J.B., Folorunso, S.O., Imoize, A.L., Odunuga, J.O., Lee, C.-C., Li, C.-T., Do, D.-T.: An ensemble tree-based model for intrusion detection in industrial internet of things networks. Appl. Sci. 13(4), 2479 (2023)","journal-title":"Appl. Sci."},{"issue":"3","key":"9829_CR29","doi-asserted-by":"publisher","first-page":"203","DOI":"10.18280\/ria.330306","volume":"33","author":"S Fenanir","year":"2019","unstructured":"Fenanir, S., Semchedine, F., Baadache, A.: A machine learning-based lightweight intrusion detection system for the internet of things. Revue d\u2019Intelligence Artificielle 33(3), 203\u2013211 (2019)","journal-title":"Revue d\u2019Intelligence Artificielle"},{"key":"9829_CR30","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2019.0101280","author":"J Alsamiri","year":"2019","unstructured":"Alsamiri, J., Alsubhi, K.: Internet of things cyber-attacks detection using machine learning. Int. J. Adv. Comput. Sci. Appl. (2019). https:\/\/doi.org\/10.14569\/IJACSA.2019.0101280","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"9829_CR31","unstructured":"Stoian, N.-A.: Machine learning for anomaly detection in IoT networks: malware analysis on the IoT-23 data set (2020)"},{"issue":"4","key":"9829_CR32","doi-asserted-by":"publisher","first-page":"2287","DOI":"10.1007\/s11277-019-06986-8","volume":"111","author":"A Verma","year":"2020","unstructured":"Verma, A., Ranga, V.: Machine learning based intrusion detection systems for IoT applications. Wirel. Pers. Commun. 111(4), 2287\u20132310 (2020)","journal-title":"Wirel. Pers. Commun."},{"key":"9829_CR33","doi-asserted-by":"crossref","unstructured":"Park, S.-W., Park, H., Choi, Y.: RNN-based prediction for network intrusion detection. In: 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (2020). IEEE","DOI":"10.1109\/ICAIIC48513.2020.9065249"},{"key":"9829_CR34","doi-asserted-by":"crossref","unstructured":"Al-Emadi, S., Al-Mohannadi, A., Al-Senaid, F.: Using deep learning techniques for network intrusion detection. In: 2020 IEEE International Conference On Informatics, IoT, and Enabling Technologies (ICIoT) (2020)","DOI":"10.1109\/ICIoT48696.2020.9089524"},{"key":"9829_CR35","doi-asserted-by":"crossref","unstructured":"Ge, M., Fu, X., Syed, N., Baig, Z., Teo, G., Robles-Kelly, A.: Deep learning-based intrusion detection for IoT networks. In: 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC) (2019). IEEE","DOI":"10.1109\/PRDC47002.2019.00056"},{"key":"9829_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2020\/6689134","volume":"2020","author":"A Derhab","year":"2020","unstructured":"Derhab, A., Aldweesh, A., Emam, A., Khan, F.: Intrusion detection system for internet of things based on temporal convolution neural network and efficient feature engineering. Wirel. Commun. Mob. Comput. 2020, 1\u201316 (2020)","journal-title":"Wirel. Commun. Mob. Comput."},{"issue":"5","key":"9829_CR37","doi-asserted-by":"publisher","first-page":"279","DOI":"10.3390\/info11050279","volume":"11","author":"B Susilo","year":"2020","unstructured":"Susilo, B., Sari, R.: Intrusion detection in IoT networks using deep learning algorithm. Information 11(5), 279 (2020)","journal-title":"Information"},{"key":"9829_CR38","doi-asserted-by":"publisher","first-page":"165130","DOI":"10.1109\/ACCESS.2020.3022862","volume":"8","author":"A Alsaedi","year":"2020","unstructured":"Alsaedi, A., Moustafa, N., Tari, Z., Mahmood, A., Anwar, A.: Ton_IoT telemetry dataset: a new generation dataset of IoT and IIoT for data-driven intrusion detection systems. IEEE Access 8, 165130\u2013165150 (2020)","journal-title":"IEEE Access"}],"container-title":["Journal of Network and Systems Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-024-09829-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10922-024-09829-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-024-09829-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T13:22:49Z","timestamp":1722604969000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10922-024-09829-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,9]]},"references-count":38,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["9829"],"URL":"https:\/\/doi.org\/10.1007\/s10922-024-09829-5","relation":{},"ISSN":["1064-7570","1573-7705"],"issn-type":[{"value":"1064-7570","type":"print"},{"value":"1573-7705","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,9]]},"assertion":[{"value":"27 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"I declare that the authors have no Conflict of interest as defined by Springer, or other interests that might be perceived to influence the results and\/or discussion reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}],"article-number":"56"}}