{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:34:26Z","timestamp":1763458466875,"version":"3.41.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031887048","type":"print"},{"value":"9783031887055","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-88705-5_35","type":"book-chapter","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T12:33:56Z","timestamp":1748435636000},"page":"426-434","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adversarial Attack Detection in Intrusion Detection System Using Machine Learning"],"prefix":"10.1007","author":[{"given":"Sanjeev","family":"Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saurabh","family":"Bharti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajiv","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kapil","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manju","family":"Khari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,29]]},"reference":[{"issue":"7","key":"35_CR1","doi-asserted-by":"publisher","first-page":"149","DOI":"10.3390\/info9070149","volume":"9","author":"SS Dhaliwal","year":"2018","unstructured":"Dhaliwal, S.S., Nahid, A.A., Abbas, R.: Effective intrusion detection system using XGBOOST. Information 9(7), 149 (2018)","journal-title":"Information"},{"issue":"11","key":"35_CR2","doi-asserted-by":"publisher","first-page":"4724","DOI":"10.1109\/TII.2018.2852491","volume":"14","author":"E Sisinni","year":"2018","unstructured":"Sisinni, E., Saifullah, A., Han, S., Jennehag, U., Gidlund, M.: Industrial internet of things: challenges, opportunities, and directions. IEEE Trans. Industr. Inf. 14(11), 4724\u20134734 (2018)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Z., Jiang, F., Cheng, Y., Gu, X., Liu, W., Peng, J.: XGBoost classifier for DDoS attack detection and analysis in SDN-based cloud. In: 2018 IEEE International Conference on Big Data and Smart Computing (bigcomp), pp. 251\u2013256 (2018)","DOI":"10.1109\/BigComp.2018.00044"},{"issue":"19","key":"35_CR4","doi-asserted-by":"publisher","first-page":"14469","DOI":"10.1007\/s00500-023-09037-4","volume":"27","author":"H Xu","year":"2023","unstructured":"Xu, H., Sun, Z., Cao, Y., Bilal, H.: A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things. Soft. Comput. 27(19), 14469\u201314481 (2023)","journal-title":"Soft. Comput."},{"issue":"4","key":"35_CR5","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.3390\/electronics12041044","volume":"12","author":"M ElKashlan","year":"2023","unstructured":"ElKashlan, M., Elsayed, M.S., Jurcut, A.D., Azer, M.: A machine learning-based intrusion detection system for IoT Electric Vehicle charging Stations (EVCSs). Electronics 12(4), 1044 (2023)","journal-title":"Electronics"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Pandit, P.V., Bhushan, S., Waje, P.V.: Implementation of intrusion detection system using various machine learning approaches with ensemble learning. In: 2023 International Conference on Advancement in Computation and Computer Technologies (InCACCT), pp. 468\u2013472. IEEE (2023)","DOI":"10.1109\/InCACCT57535.2023.10141704"},{"key":"35_CR7","unstructured":"Bajpai, S., Sharma, K., Chaurasia, B.K.: Intrusion detection system in IoT network using ML. NeuroQuantology, 3597\u20133601 (2022)"},{"key":"35_CR8","first-page":"1","volume":"2022","author":"D Rani","year":"2022","unstructured":"Rani, D., Gill, N.S., Gulia, P., Chatterjee, J.M.: An Ensemble-based multiclass classifier for intrusion detection using internet of things. Comput. Intell. Neurosci. 2022, 1\u201316 (2022)","journal-title":"Comput. Intell. Neurosci."},{"key":"35_CR9","unstructured":"Kumar, S.K., Bhatnagar, V.: Machine learning algorithms performance evaluation for intrusion detection. J. Inf. Technol. Manag. 13(1), 42\u201361 (2021)"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Tavallaee, M., Bagheri, E., Lu, W., Ghorbani, A.A.: A detailed analysis of the KDD CUP 99 data set. In: 2009 IEEE Symposium on Computational Intelligence for Security and D\u00e9fense Applications, Ottawa, ON, Canada, pp. 1\u20136 (2009)","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Stolfo, S.J., Fan, W., Lee, W., Prodromidis, A., Chan, P.K.: Cost-based modeling for fraud and intrusion detection: results from the JAM project. In: Proceedings DARPA Information Survivability Conference and Exposition. DISCEX\u201900, vol. 2, pp. 130\u2013144. IEEE (2000)","DOI":"10.1109\/DISCEX.2000.821515"},{"key":"35_CR12","doi-asserted-by":"publisher","first-page":"13624","DOI":"10.1109\/ACCESS.2018.2810198","volume":"6","author":"P Tao","year":"2018","unstructured":"Tao, P., Sun, Z., Sun, Z.: An improved intrusion detection algorithm based on GA and SVM. IEEE Access 6, 13624\u201313631 (2018)","journal-title":"IEEE Access"},{"issue":"3","key":"35_CR13","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1007\/s00500-020-05297-6","volume":"25","author":"I Wickramasinghe","year":"2021","unstructured":"Wickramasinghe, I., Kalutarage, H.: Naive Bayes: applications, variations and vulnerabilities: a review of the literature with code snippets for implementation. Soft. Comput. 25(3), 2277\u20132293 (2021)","journal-title":"Soft. Comput."},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Agarwal, A., Singh, R., Khari, M.: Detection of DDoS attack using ids mechanism: a review. In: 2022 1st International Conference on Informatics (ICI), pp. 36\u201346. IEEE (2022)","DOI":"10.1109\/ICI53355.2022.9786899"},{"issue":"7","key":"35_CR15","doi-asserted-by":"publisher","first-page":"31","DOI":"10.5815\/ijmecs.2016.07.04","volume":"8","author":"HO Salami","year":"2016","unstructured":"Salami, H.O., Ibrahim, R.S., Yahaya, M.O.: Detecting anomalies in students\u2019 results using decision trees. Int. J. Mod. Educ. Comput. Sci. 8(7), 31 (2016)","journal-title":"Int. J. Mod. Educ. Comput. Sci."},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Saif, S., Das, P., Biswas, S., Khari, M., Shanmuganathan, V.: HIIDS: hybrid intelligent intrusion detection system empowered with machine learning and metaheuristic algorithms for application in IoT based healthcare. Microprocessors Microsyst. 104622 (2022)","DOI":"10.1016\/j.micpro.2022.104622"}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-88705-5_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T12:34:03Z","timestamp":1748435643000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-88705-5_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031887048","9783031887055"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-88705-5_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"29 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IHCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Human Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Twente","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ihci2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.utwente.nl\/en\/bms\/ihci2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}