{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T10:01:43Z","timestamp":1780999303541,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819573936","type":"print"},{"value":"9789819573943","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-7394-3_32","type":"book-chapter","created":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T23:58:34Z","timestamp":1778457514000},"page":"468-478","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Extending Hyperbolic Temporal Graph Neural Network to Anomaly Detection for Secure Cyberspaces"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0136-4398","authenticated-orcid":false,"given":"Souhail Abdelmouaiz","family":"Sadat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9837-6435","authenticated-orcid":false,"given":"Mohamed Yacine Touahria","family":"Miliani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0670-815X","authenticated-orcid":false,"given":"Hamida","family":"Seba","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,1]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Bai, Q., Nie, C., Zhang, H., Zhao, D., Yuan, X.: Hgwavenet: a hyperbolic graph neural network for temporal link prediction. In: Proceedings of the ACM Web Conference 2023, pp. 523\u2013532 (2023)","DOI":"10.1145\/3543507.3583455"},{"issue":"1","key":"32_CR2","first-page":"3840","volume":"23","author":"I Chami","year":"2022","unstructured":"Chami, I., Abu-El-Haija, S., Perozzi, B., R\u00e9, C., Murphy, K.: Machine learning on graphs: a model and comprehensive taxonomy. J. Mach. Learn. Res. 23(1), 3840\u20133903 (2022)","journal-title":"J. Mach. Learn. Res."},{"key":"32_CR3","unstructured":"Chami, I., Ying, Z., R\u00e9, C., Leskovec, J.: Hyperbolic graph convolutional neural networks. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"32_CR4","unstructured":"Ganea, O., B\u00e9cigneul, G., Hofmann, T.: Hyperbolic neural networks. Adv. Neural Inf. Process. Syst. 31 (2018)"},{"key":"32_CR5","doi-asserted-by":"publisher","unstructured":"Habibi\u00a0Lashkari, A., Kaur, G., Rahali, A.: Didarknet: a contemporary approach to detect and characterize the darknet traffic using deep image learning. In: Proceedings of 10th International Conference on Communication and Network Security, ICCNS \u201920, pp. 1\u201313. ACM, New York (2021). https:\/\/doi.org\/10.1145\/3442520.3442521","DOI":"10.1145\/3442520.3442521"},{"key":"32_CR6","unstructured":"Hajiramezanali, E., Hasanzadeh, A., Narayanan, K., Duffield, N., Zhou, M., Qian, X.: Variational graph recurrent neural networks. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"32_CR7","unstructured":"Li, Y., Yu, R., Shahabi, C., Liu, Y.: Diffusion convolutional recurrent neural network: data-driven traffic forecasting. arXiv preprint arXiv:1707.01926 (2017)"},{"key":"32_CR8","unstructured":"Mathieu, E., Le\u00a0Lan, C., Maddison, C.J., Tomioka, R., Teh, Y.W.: Continuous hierarchical representations with poincar\u00e9 variational auto-encoders. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"32_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.102994","volume":"72","author":"N Moustafa","year":"2021","unstructured":"Moustafa, N.: A new distributed architecture for evaluating ai-based security systems at the edge: network ton_iot datasets. Sustain. Cities Soc. 72, 102994 (2021). https:\/\/doi.org\/10.1016\/j.scs.2021.102994","journal-title":"Sustain. Cities Soc."},{"key":"32_CR10","unstructured":"Oord, A.V.D., et al.: Wavenet: a generative model for raw audio. arXiv preprint arXiv:1609.03499 (2016)"},{"key":"32_CR11","doi-asserted-by":"crossref","unstructured":"Pareja, A., et al.: Evolvegcn: evolving graph convolutional networks for dynamic graphs. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 5363\u20135370 (2020)","DOI":"10.1609\/aaai.v34i04.5984"},{"key":"32_CR12","doi-asserted-by":"publisher","unstructured":"Touahria\u00a0Miliani, M.Y., Sadat, S.A., Haddad, M., Seba, H., Amrouche, K.: Comparing hyperbolic graph embedding models on anomaly detection for cybersecurity. In: Proceedings of the 19th International Conference on Availability, Reliability and Security, ARES \u201924. Association for Computing Machinery, New York (2024). https:\/\/doi.org\/10.1145\/3664476.3670445","DOI":"10.1145\/3664476.3670445"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Wu, Z., Pan, S., Long, G., Jiang, J., Zhang, C.: Graph wavenet for deep spatial-temporal graph modeling. arXiv preprint arXiv:1906.00121 (2019)","DOI":"10.24963\/ijcai.2019\/264"},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Yang, M., Zhou, M., Kalander, M., Huang, Z., King, I.: Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 1975\u20131985 (2021)","DOI":"10.1145\/3447548.3467422"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering - WISE 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-7394-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T09:35:50Z","timestamp":1780997750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-7394-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819573936","9789819573943"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-7394-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakech","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","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":"15 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wise2025.ficloud.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}