{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:11Z","timestamp":1750295411625,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T00:00:00Z","timestamp":1698364800000},"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":[[2023,10,27]]},"DOI":"10.1145\/3650215.3650241","type":"proceedings-article","created":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T22:11:20Z","timestamp":1713305480000},"page":"138-146","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Abnormal Network Traffic Detection Method Based on Stacked Capsule Autoencoder"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4379-2781","authenticated-orcid":false,"given":"Qinglin","family":"Chen","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Xinjiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1947-0452","authenticated-orcid":false,"given":"Hailati","family":"Kezierbieke","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Xinjiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9823-4707","authenticated-orcid":false,"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software, Xinjiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1325-3926","authenticated-orcid":false,"given":"Yuyuan","family":"Chang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Xinjiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2015.11.016"},{"key":"e_1_3_2_1_2_1","volume-title":"Imagenet classification with deep convolutional neural networks[J]. Advances in neural information processing systems","author":"Krizhevsky A","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[J]. Advances in neural information processing systems, 2012, 25."},{"key":"e_1_3_2_1_3_1","volume-title":"Dynamic routing between capsules[J]. Advances in neural information processing systems","author":"Sabour S","year":"2017","unstructured":"Sabour S, Frosst N, Hinton G E. Dynamic routing between capsules[J]. Advances in neural information processing systems, 2017, 30."},{"key":"e_1_3_2_1_4_1","volume-title":"Matrix capsules with EM routing[C]\/\/International conference on learning representations","author":"Hinton G E","year":"2018","unstructured":"Hinton G E, Sabour S, Frosst N. Matrix capsules with EM routing[C]\/\/International conference on learning representations. 2018."},{"key":"e_1_3_2_1_5_1","volume-title":"Stacked capsule autoencoders [J]. Advances in neural information processing systems","author":"Kosiorek A","year":"2019","unstructured":"Kosiorek A, Sabour S, Teh Y W, Stacked capsule autoencoders [J]. Advances in neural information processing systems, 2019, 32."},{"key":"e_1_3_2_1_6_1","volume-title":"Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training [J]. arXiv preprint arXiv:2202.13755","author":"Dai J","year":"2022","unstructured":"Dai J, Xiong S. Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training [J]. arXiv preprint arXiv:2202.13755, 2022."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102767"},{"key":"e_1_3_2_1_8_1","first-page":"92","volume-title":"IEEE","author":"Ingre B","year":"2015","unstructured":"Ingre B, Yadav A. Performance analysis of NSL-KDD dataset using ANN[C]\/\/2015 international conference on signal processing and communication engineering systems. IEEE, 2015, 92-96."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895334"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2762418"},{"key":"e_1_3_2_1_11_1","volume-title":"Long short-term memory [J]. Neural computation","author":"Hochreiter S","year":"1997","unstructured":"Hochreiter S, Schmidhuber J. Long short-term memory [J]. Neural computation, 1997, 9(8): 1735-1780."},{"key":"e_1_3_2_1_12_1","volume-title":"Deep learning based multi-channel intelligent attack detection for data security [J]","author":"Jiang F","year":"2018","unstructured":"Jiang F, Fu Y, Gupta B B, Deep learning based multi-channel intelligent attack detection for data security [J]. IEEE transactions on Sustainable Computing, 2018, 5(2): 204-212."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2772792"},{"key":"e_1_3_2_1_14_1","first-page":"195","volume-title":"IEEE","author":"Alrawashdeh K","year":"2016","unstructured":"Alrawashdeh K, Purdy C. Toward an online anomaly intrusion detection system based on deep learning[C]\/\/2016 15th IEEE international conference on machine learning and applications (ICMLA). IEEE, 2016, 195-200."},{"key":"e_1_3_2_1_15_1","volume-title":"Intrusion detection using convolutional neural networks for representation learning[C]\/\/International conference on neural information processing","author":"Li Z","year":"2017","unstructured":"Li Z, Qin Z, Huang K, Intrusion detection using convolutional neural networks for representation learning[C]\/\/International conference on neural information processing. Cham: Springer International Publishing, 2017, 858-866."},{"key":"e_1_3_2_1_16_1","first-page":"2960","volume-title":"IEEE","author":"Kim T","year":"2018","unstructured":"Kim T, Suh S C, Kim H, An encoding technique for CNN-based network anomaly detection[C]\/\/2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018, 2960-2965."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9060916"},{"key":"e_1_3_2_1_18_1","volume-title":"Noever S E M. Image Classifiers for Network Intrusions[J]. arXiv preprint arXiv:2103.07765","author":"Noever D A","year":"2021","unstructured":"Noever D A, Noever S E M. Image Classifiers for Network Intrusions[J]. arXiv preprint arXiv:2103.07765, 2021."},{"key":"e_1_3_2_1_19_1","first-page":"61","volume-title":"IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE","author":"Liu X","year":"2019","unstructured":"Liu X, Tang Z, Yang B. Predicting network attacks with CNN by constructing images from NetFlow data[C]\/\/2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, 2019, 61-66."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108328"},{"key":"e_1_3_2_1_21_1","volume-title":"Visualizing data using t-SNE [J]. Journal of machine learning research","author":"Van der Maaten L","year":"2008","unstructured":"Van der Maaten L, Hinton G. Visualizing data using t-SNE [J]. Journal of machine learning research, 2008, 9(11)."},{"key":"e_1_3_2_1_22_1","volume-title":"DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture [J]. Scientific reports","author":"Sharma A","year":"2019","unstructured":"Sharma A, Vans E, Shigemizu D, DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture [J]. Scientific reports, 2019, 9(1): 11399."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0911-8"},{"key":"e_1_3_2_1_24_1","volume-title":"Densely connected convolutional networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition.","author":"Huang G","year":"2017","unstructured":"Huang G, Liu Z, Van Der Maaten L, Densely connected convolutional networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2017, 4700-4708."},{"key":"e_1_3_2_1_25_1","volume-title":"Squeeze-and-excitation networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Hu J","year":"2018","unstructured":"Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018, 7132-7141."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2019.102419"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00382-x"}],"event":{"name":"ICMLCA 2023: 2023 4th International Conference on Machine Learning and Computer Application","acronym":"ICMLCA 2023","location":"Hangzhou China"},"container-title":["2023 4th International Conference on Machine Learning and Computer Application"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3650215.3650241","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3650215.3650241","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:10Z","timestamp":1750294690000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3650215.3650241"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,27]]},"references-count":27,"alternative-id":["10.1145\/3650215.3650241","10.1145\/3650215"],"URL":"https:\/\/doi.org\/10.1145\/3650215.3650241","relation":{},"subject":[],"published":{"date-parts":[[2023,10,27]]},"assertion":[{"value":"2024-04-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}