{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:43:26Z","timestamp":1765233806934,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"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":[[2023,11,17]]},"DOI":"10.1145\/3652628.3652782","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T10:36:46Z","timestamp":1716460606000},"page":"927-932","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust Detection for Adversarial Attacks - Based on a Graph Neural Network for Web Application Security Protection System"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9169-0002","authenticated-orcid":false,"given":"Junhao","family":"Li","sequence":"first","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9076-5358","authenticated-orcid":false,"given":"Jiacheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9625-689X","authenticated-orcid":false,"given":"Lei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3135-2345","authenticated-orcid":false,"given":"Baowei","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1031-084X","authenticated-orcid":false,"given":"Shengfei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7261-1124","authenticated-orcid":false,"given":"Wenhao","family":"He","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Zhengzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11749-016-0481-7"},{"key":"e_1_3_2_1_2_1","unstructured":"Ferludin Oleksandr \u201cTF-GNN: Graph Neural Networks in TensorFlow.\u201d ArXiv abs\/2207.03522. 2022: n. pag."},{"key":"e_1_3_2_1_3_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2018","unstructured":"Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2018. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555. 2018."},{"key":"e_1_3_2_1_4_1","volume-title":"Markus Hagenbuchner, and Gabriele Monfardini.","author":"Scarselli Franco","year":"2008","unstructured":"Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008. The graph neural network model. IEEE transactions on neural networks 20, 1. 2008, 61\u201380."},{"key":"e_1_3_2_1_5_1","volume-title":"NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. arXiv preprint arXiv:2103.03939","author":"Busch Julian","year":"2021","unstructured":"Julian Busch, Anton Kocheturov, Volker Tresp, and Thomas Seidl. 2021. NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. arXiv preprint arXiv:2103.03939. 2021."},{"key":"e_1_3_2_1_6_1","volume-title":"Artificial neu-ral networks (the multilayer perceptron)\u2014a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15","author":"Gardner Matt W","year":"1998","unstructured":"Matt W Gardner and SR Dorling. 1998. Artificial neu-ral networks (the multilayer perceptron)\u2014a review of applications in the atmospheric sciences. Atmospheric environment 32, 14-15. 1998, 2627\u20132636."},{"key":"e_1_3_2_1_7_1","volume-title":"Multi-class adaboost. Statistics and its Interface 2, 3","author":"Hastie Trevor","year":"2009","unstructured":"Trevor Hastie, Saharon Rosset, Ji Zhu, and Hui Zou. 2009. Multi-class adaboost. Statistics and its Interface 2, 3. 2009, 349\u2013360."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14569\/SpecialIssue.2014.040203"},{"key":"e_1_3_2_1_9_1","volume-title":"Neural Message Passing for Quantum Chemistry. In Proceedings of the International Conference on Machine Learning (ICML)","volume":"70","author":"Gilmer Justin","unstructured":"Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, and George E. Dahl. 2017. Neural Message Passing for Quantum Chemistry. In Proceedings of the International Conference on Machine Learning (ICML), Vol. 70. 1263\u20131272."},{"key":"e_1_3_2_1_10_1","first-page":"3","article-title":"A survey of random forest based methods for intrusion detection systems","volume":"51","author":"Alves Resende Paulo Angelo","year":"2018","unstructured":"Paulo Angelo Alves Resende and Andr\u00b4e Costa Drum-mond. 2018. A survey of random forest based methods for intrusion detection systems. ACM Computing Surveys (CSUR) 51, 3. 2018, 1\u201336.","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_12_1","unstructured":"Investigators at Harbin Institute of Technology Describe Findings in Data Transmission (Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-physical Attacks In an Integrated Data-driven Framework) [J].Electronics Newsweekly 2022 (May 24)."}],"event":{"name":"ICAICE 2023: The 4th International Conference on Artificial Intelligence and Computer Engineering","acronym":"ICAICE 2023","location":"Dalian China"},"container-title":["Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652782","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652628.3652782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T15:30:21Z","timestamp":1765207821000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652782"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":12,"alternative-id":["10.1145\/3652628.3652782","10.1145\/3652628"],"URL":"https:\/\/doi.org\/10.1145\/3652628.3652782","relation":{},"subject":[],"published":{"date-parts":[[2023,11,17]]},"assertion":[{"value":"2024-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}