{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T09:04:57Z","timestamp":1784106297353,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819228843","type":"print"},{"value":"9789819228850","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"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":[[2027]]},"DOI":"10.1007\/978-981-92-2885-0_26","type":"book-chapter","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T08:19:44Z","timestamp":1784103584000},"page":"322-332","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["IM-WGAN: An Improved Wasserstein Generative Adversarial Network Architecture for Zero-Day Botnet Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8516-3543","authenticated-orcid":false,"given":"Wan Nur Hidayah","family":"Ibrahim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Selamat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7869-0257","authenticated-orcid":false,"given":"Mohd Syahid","family":"Mohd Anuar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5992-2574","authenticated-orcid":false,"given":"Ond\u0159ej","family":"Krejcar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,16]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Abusitta, A., Halabi, T., Bataineh, A.S., Zulkernine, M.: Generative adversarial networks for robust anomaly detection in noisy IoT environments. In: ICC 2024-IEEE International Conference on Communications, pp. 4644\u20134649. IEEE (2024)","DOI":"10.1109\/ICC51166.2024.10622882"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Al-Shurbaji, T., et al.: BoT-EnsIDS: approach for detecting IoT botnet attacks leveraging bio-inspired based ensemble feature selection and hybrid deep learning model. Alex. Eng. J. (2025)","DOI":"10.1016\/j.aej.2025.06.030"},{"key":"26_CR3","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: Precup, D., Teh, Y.W. (eds.) Proceedings of the 34th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol.\u00a070, pp. 214\u2013223. PMLR (2017). https:\/\/proceedings.mlr.press\/v70\/arjovsky17a.html"},{"key":"26_CR4","doi-asserted-by":"publisher","first-page":"162685","DOI":"10.1109\/ACCESS.2024.3486734","volume":"12","author":"FS Atedjio","year":"2024","unstructured":"Atedjio, F.S., Lienou, J.P., Nelson, F.F., Shetty, S.S., Kamhoua, C.A.: Cyclegan-gradient penalty for enhancing android adversarial malware detection in gray box setting. IEEE Access 12, 162685\u2013162696 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3486734","journal-title":"IEEE Access"},{"key":"26_CR5","doi-asserted-by":"publisher","unstructured":"Dong, H., Kotenko, I.: Enhancing malware detection resilience: A u-net gan denoising framework for image-based classification. CMC Comput. Mater. Continua 82(3), 4263\u20134285 (2025).https:\/\/doi.org\/10.32604\/cmc.2025.062439","DOI":"10.32604\/cmc.2025.062439"},{"key":"26_CR6","doi-asserted-by":"publisher","unstructured":"Geiginger, L.M., Zseby, T.: Evading botnet detection. In: Proceedings of the 39th ACM\/SIGAPP Symposium on Applied Computing. pp. 1\u201310. ACM (2024).https:\/\/doi.org\/10.1145\/3605098.3635921","DOI":"10.1145\/3605098.3635921"},{"key":"26_CR7","unstructured":"Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of wasserstein gans. Adv. Neural Inf. Process. Syst., 30 (2017)"},{"key":"26_CR8","doi-asserted-by":"publisher","unstructured":"Najari, S., Salehi, M., Farahbakhsh, R.: Ganbot: a gan-based framework for social bot detection. Soc. Netw. Anal. Min. 12(4) (2022). https:\/\/doi.org\/10.1007\/s13278-021-00800-9","DOI":"10.1007\/s13278-021-00800-9"},{"key":"26_CR9","unstructured":"Radware: Executive summary: 2025 global threat analysis report (2025), https:\/\/www.radware.com\/getattachment\/65635609-b690-476d-9cf9-e14d5c2165f2\/Radware_Full_Year_Threat_Report_ExecSum_2025_RWI-426.pdf.aspx, analysis of the Global Network and Application Attack Trends of 2024"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, L., Wang, Y., Ohtsuki, T., Adebisi, B., Wu, H.C., Gui, G.: Adversarial learning aided malicious network traffic detection based on EDE framework. In: 2023 IEEE\/CIC International Conference on Communications in China (ICCC), pp. 1\u20136. IEEE (2023)","DOI":"10.1109\/ICCC57788.2023.10233524"}],"container-title":["Lecture Notes in Computer Science","Advances and Trends in Artificial Intelligence. Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-2885-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T08:19:46Z","timestamp":1784103586000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-2885-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,16]]},"ISBN":["9789819228843","9789819228850"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-2885-0_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,16]]},"assertion":[{"value":"16 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IEA\/AIE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kuala Lumpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 June 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ieaaie2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.i-somet.org\/iea-aie2026\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}