{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T09:51:34Z","timestamp":1770976294704,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698110","type":"print"},{"value":"9789819698127","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\/978-981-96-9812-7_24","type":"book-chapter","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T07:26:38Z","timestamp":1753428398000},"page":"283-294","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VGM-VAEGAN: A Multi-Stage Training Guided Data Augmentation Model for Intrusion Detection"],"prefix":"10.1007","author":[{"given":"Fuyuan","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"issue":"1","key":"24_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.jnca.2012.09.004","volume":"36","author":"HJ Liao","year":"2013","unstructured":"Liao, H.J., Lin, C.H.R., Lin, Y.C., Tung, K.Y.: Intrusion Detection System: A Comprehensive Review. J. Netw. Comput. Appl. 36(1), 16\u201324 (2013)","journal-title":"J. Netw. Comput. Appl."},{"issue":"7","key":"24_CR2","doi-asserted-by":"publisher","first-page":"4845","DOI":"10.1007\/s10994-022-06268-8","volume":"113","author":"K Ghosh","year":"2024","unstructured":"Ghosh, K., Bellinger, C., Corizzo, R., Branco, P., Krawczyk, B., Japkowicz, N.: The class imbalance problem in deep learning. Mach. Learn. 113(7), 4845\u20134901 (2024)","journal-title":"Mach. Learn."},{"key":"24_CR3","first-page":"321","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intel. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intel. Res."},{"key":"24_CR4","unstructured":"Kingma, D.P., Welling, M., et al.: Auto-encoding Variational Bayes (2013)"},{"issue":"11","key":"24_CR5","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"key":"24_CR6","unstructured":"Larsen, A.B.L., S\u00f8nderby, S.K., Larochelle, H., Winther, O.: Autoencoding Beyond Pixels Using a Learned Similarity Metric. In: International conference on machine learning, pp. 1558\u20131566. PMLR (2016)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Tian, W., Shen, Y., Guo, N., Yuan, J., Yang, Y.: Vae-wacgan: An Improved Data Augmentation Method Based on Vaegan for Intrusion Detection. Sensors (Basel, Switzerland) 21(18), 635 (2024)","DOI":"10.3390\/s24186035"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Sun, S., Wang, D., Xu, W.: Mcvae-gan: A Novel Diagnosis Method for Solving Harmonic Reducer Fault Signal Scarcity and Sample Diversity Problem. IEEE Transactions on Instrumentation and Measurement (2024)","DOI":"10.1109\/TIM.2024.3472781"},{"key":"24_CR9","unstructured":"Vaswani, A., et al.: Attention is All You Need. Advances in neural information processing systems 30 (2017)"},{"key":"24_CR10","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet Classification with Deep Convolutional Neural Networks. Advances in neural information processing systems 25 (2012)"},{"key":"24_CR11","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 defense applications, pp. 1\u20136. IEEE (2009)","DOI":"10.1109\/CISDA.2009.5356528"},{"issue":"2018","key":"24_CR12","first-page":"108","volume":"1","author":"I Sharafaldin","year":"2018","unstructured":"Sharafaldin, I., Lashkari, A.H., Ghorbani, A.A., et al.: Toward generating a new intrusion detection dataset and intrusion traffic characterization. ICISSP 1(2018), 108\u2013116 (2018)","journal-title":"ICISSP"},{"issue":"1","key":"24_CR13","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","volume":"109","author":"F Zhuang","year":"2020","unstructured":"Zhuang, F., et al.: A comprehensive survey on transfer learning. Proc. IEEE 109(1), 43\u201376 (2020)","journal-title":"Proc. IEEE"},{"key":"24_CR14","unstructured":"Xu, L., Skoularidou, M., Cuesta-Infante, A., Veeramachaneni, K.: Modeling Tabular Data Using Conditional Gan. Advances in neural information processing systems 32 (2019)"},{"key":"24_CR15","unstructured":"Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved Training of Wasserstein Gans. Advances In Neural Information Processing Systems 30 (2017)"},{"key":"24_CR16","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.comcom.2023.10.018","volume":"212","author":"Y Gu","year":"2023","unstructured":"Gu, Y., Yang, Y., Yan, Y., Shen, F., Gao, M.: Learning-based Intrusion Detection for High-dimensional Imbalanced Traffic. Comput. Commun. 212, 366\u2013376 (2023)","journal-title":"Comput. Commun."},{"key":"24_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110724","volume":"253","author":"Z Li","year":"2024","unstructured":"Li, Z., Huang, C., Qiu, W.: An intrusion detection method combining variational auto-encoder and generative adversarial networks. Comput. Netw. 253, 110724 (2024)","journal-title":"Comput. Netw."},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"hang, W., et al.: Cwmagan-gp-based Oversampling Technique for Intrusion Detection. In: International Conference on Intelligent Computing, pp. 318\u2013330. Springer (2024)","DOI":"10.1007\/978-981-97-5603-2_26"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Hu, X., Meng, X., Liu, S., Liang, L.: An improved Algorithm for Network Intrusion Detection Based on Deep Residual Networks. IEEE Access (2024)","DOI":"10.1109\/ACCESS.2024.3398007"},{"key":"24_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110423","volume":"247","author":"W Chen","year":"2024","unstructured":"Chen, W., et al.: Network anomaly detection via similarity-aware ensemble learning with adsim. Comput. Netw. 247, 110423 (2024)","journal-title":"Comput. Netw."},{"key":"24_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102834","volume":"121","author":"X Yun","year":"2022","unstructured":"Yun, X., Xie, J., Li, S., Zhang, Y., Sun, P.: Detecting unknown http-based malicious communication behavior via generated adversarial flows and hierarchical traffic features. Comput. Secur. 121, 102834 (2022)","journal-title":"Comput. Secur."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9812-7_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T08:57:32Z","timestamp":1770973052000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9812-7_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698110","9789819698127"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9812-7_24","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":"26 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}