{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T12:52:32Z","timestamp":1768827152334,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"Universidad Carlos III de Madrid","doi-asserted-by":"publisher","award":["DEPROFAKE-CM-UC3M"],"award-info":[{"award-number":["DEPROFAKE-CM-UC3M"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"Ministerio de Universidades","doi-asserted-by":"publisher","award":["Requalification programme"],"award-info":[{"award-number":["Requalification programme"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["DEPROFAKE-CM-UC3M"],"award-info":[{"award-number":["DEPROFAKE-CM-UC3M"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"Instituto Nacional de Ciberseguridad","doi-asserted-by":"publisher","award":["APAMciber"],"award-info":[{"award-number":["APAMciber"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"European Commission","doi-asserted-by":"publisher","award":["APAMciber (Next Generation EU)"],"award-info":[{"award-number":["APAMciber (Next Generation EU)"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,30]]},"DOI":"10.1145\/3664476.3664481","type":"proceedings-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T12:35:50Z","timestamp":1721910950000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Continuous Authentication Leveraging Matrix Profile"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8659-1275","authenticated-orcid":false,"given":"Luis","family":"Ibanez-Lissen","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Universidad Carlos III de Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4023-3197","authenticated-orcid":false,"given":"Jose Maria","family":"De Fuentes","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Universidad Carlos III de Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3490-621X","authenticated-orcid":false,"given":"Lorena","family":"Gonzalez-Manzano","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Universidad Carlos III de Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7537-295X","authenticated-orcid":false,"given":"Nicolas","family":"Anciaux","sequence":"additional","affiliation":[{"name":"Inria, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31552-7_57"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2975779"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3020076"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.09.006"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.15439\/2021F114"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.IS.2018.09.002"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-023-00721-y"},{"key":"e_1_3_2_1_8_1","volume-title":"Smartphone continuous authentication using deep learning autoencoders. In 2017 15th annual conference on privacy, security and trust (pst)","author":"Centeno Mario\u00a0Parre\u00f1o","unstructured":"Mario\u00a0Parre\u00f1o Centeno, Aad van Moorsel, and Stefano Castruccio. 2017. Smartphone continuous authentication using deep learning autoencoders. In 2017 15th annual conference on privacy, security and trust (pst). IEEE, 147\u20131478."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3432203"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1211"},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Pattern Recognition Applications and Methods. Springer, 95\u2013118","author":"De\u00a0Paepe Dieter","year":"2019","unstructured":"Dieter De\u00a0Paepe, Diego\u00a0Nieves Avendano, and Sofie Van\u00a0Hoecke. 2019. Implications of z-normalization in the matrix profile. In International Conference on Pattern Recognition Applications and Methods. Springer, 95\u2013118."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386948"},{"key":"e_1_3_2_1_13_1","volume-title":"Pooling methods in deep neural networks, a review. arXiv preprint arXiv:2009.07485","author":"Gholamalinezhad Hossein","year":"2020","unstructured":"Hossein Gholamalinezhad and Hossein Khosravi. 2020. Pooling methods in deep neural networks, a review. arXiv preprint arXiv:2009.07485 (2020)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.03.010"},{"key":"e_1_3_2_1_15_1","volume-title":"An empirical investigation of catastrophic forgetting in gradient-based neural networks. arXiv preprint arXiv:1312.6211","author":"Goodfellow J","year":"2013","unstructured":"Ian\u00a0J Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio. 2013. An empirical investigation of catastrophic forgetting in gradient-based neural networks. arXiv preprint arXiv:1312.6211 (2013)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47560-8_16"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359824"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0286763"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.04.013"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"},{"key":"e_1_3_2_1_21_1","volume-title":"Designing machine learning systems. \" O\u2019Reilly Media","author":"Huyen Chip","unstructured":"Chip Huyen. 2022. Designing machine learning systems. \" O\u2019Reilly Media, Inc.\"."},{"key":"e_1_3_2_1_22_1","volume-title":"3D convolutional neural networks for human action recognition","author":"Ji Shuiwang","year":"2012","unstructured":"Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu. 2012. 3D convolutional neural networks for human action recognition. IEEE transactions on pattern analysis and machine intelligence 35, 1 (2012), 221\u2013231."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775062"},{"key":"e_1_3_2_1_24_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2014","unstructured":"Diederik\u00a0P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_2_1_26_1","volume-title":"Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey\u00a0E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012)."},{"key":"e_1_3_2_1_27_1","volume-title":"ISD 2019 Proceedings","author":"Ladjel Riad","year":"2019","unstructured":"Riad Ladjel, Nicolas Anciaux, Philippe Pucheral, and Guillaume Scerri. 2019. A Manifest-Based Framework for Organizing the Management of Personal Data at the Edge of the Network. In Information Systems Development: Information Systems Beyond 2020, ISD 2019 Proceedings, Toulon, France, August 28-30, 2019, Alena Siarheyeva, Chris Barry, Michael Lang, Henry Linger, and Christoph Schneider (Eds.). ISEN Yncr\u00e9a M\u00e9diterran\u00e9e \/ Association for Information Systems. https:\/\/aisel.aisnet.org\/isd2014\/proceedings2019\/ManagingISD\/1"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.01504"},{"key":"e_1_3_2_1_29_1","volume-title":"Deep learning. nature 521, 7553","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. nature 521, 7553 (2015), 436\u2013444."},{"key":"e_1_3_2_1_30_1","volume-title":"Backpropagation applied to handwritten zip code recognition. Neural computation 1, 4","author":"LeCun Yann","year":"1989","unstructured":"Yann LeCun, Bernhard Boser, John\u00a0S Denker, Donnie Henderson, Richard\u00a0E Howard, Wayne Hubbard, and Lawrence\u00a0D Jackel. 1989. Backpropagation applied to handwritten zip code recognition. Neural computation 1, 4 (1989), 541\u2013551."},{"key":"e_1_3_2_1_31_1","volume-title":"Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine learning 8","author":"Lin Long-Ji","year":"1992","unstructured":"Long-Ji Lin. 1992. Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine learning 8 (1992), 293\u2013321."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3040245"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00399"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/585597.585616"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICBK.2019.00031"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/266420.266434"},{"key":"e_1_3_2_1_38_1","unstructured":"Erin\u00a0C Murnane and NAVAL RESEARCH LAB\u00a0WASHINGTON DC. 2021. Detection Classification and Prediction of Satellite Tagged Marine Mammals for the US Navy. (2021)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPACS.2009.5383756"},{"key":"e_1_3_2_1_40_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_41_1","volume-title":"An Argument for the Implementation of a Biometric Authentication System (BAS). J. Pat. & Trademark Off. Soc\u2019y 80","author":"Petti A","year":"1998","unstructured":"David\u00a0A Petti. 1998. An Argument for the Implementation of a Biometric Authentication System (BAS). J. Pat. & Trademark Off. Soc\u2019y 80 (1998), 703."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"e_1_3_2_1_43_1","unstructured":"Sebastian Ruder. 2016. An overview of gradient descent optimization algorithms."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3061589"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.102168"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2635643"},{"key":"e_1_3_2_1_47_1","volume-title":"IncreAuth: Incremental Learning based Behavioral Biometric Authentication on Smartphones","author":"Shen Zhihao","year":"2023","unstructured":"Zhihao Shen, Shun Li, Xi Zhao, and Jianhua Zou. 2023. IncreAuth: Incremental Learning based Behavioral Biometric Authentication on Smartphones. IEEE Internet of Things Journal (2023)."},{"key":"e_1_3_2_1_48_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2506542"},{"key":"e_1_3_2_1_50_1","volume-title":"Continuous Authentication with Feature-Level Fusion of Touch Gestures and Keystroke Dynamics to Solve Security and Usability Issues. Computers & Security","author":"Stylios Ioannis","year":"2023","unstructured":"Ioannis Stylios, Sotirios Chatzis, Olga Thanou, and Spyros Kokolakis. 2023. Continuous Authentication with Feature-Level Fusion of Touch Gestures and Keystroke Dynamics to Solve Security and Usability Issues. Computers & Security (2023), 103363."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.08.027"},{"key":"e_1_3_2_1_53_1","volume-title":"Blockchain Technology Solutions for the Security of Iot-Based Healthcare Systems","author":"Vukobrat Nikola","unstructured":"Nikola Vukobrat, Nemanja Ma\u010dek, Sa\u0161a Adamovi\u0107, Muzafer Sara\u010devi\u0107, and Milan Gnjatovi\u0107. 2023. Implementation of two factor authentication using face and iris biometrics. In Blockchain Technology Solutions for the Security of Iot-Based Healthcare Systems. Elsevier, 77\u201396."},{"key":"e_1_3_2_1_54_1","volume-title":"Privacy-preserving continuous authentication for mobile and iot systems using warmup-based federated learning","author":"Wazzeh Mohamad","year":"2022","unstructured":"Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, and Mohsen Guizani. 2022. Privacy-preserving continuous authentication for mobile and iot systems using warmup-based federated learning. IEEE Network (2022)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.07.007"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0179"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2021.103162"},{"key":"e_1_3_2_1_58_1","unstructured":"Matthew\u00a0D Zeiler and Rob Fergus. 2013. Visualizing and Understanding Convolutional Networks. arxiv:1311.2901\u00a0[cs.CV]"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977653.ch100"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00668-6"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00099"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0085"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1138-x"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005660"}],"event":{"name":"ARES 2024: The 19th International Conference on Availability, Reliability and Security","location":"Vienna Austria","acronym":"ARES 2024"},"container-title":["Proceedings of the 19th International Conference on Availability, Reliability and Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664476.3664481","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664476.3664481","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:56:24Z","timestamp":1755881784000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664476.3664481"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,30]]},"references-count":64,"alternative-id":["10.1145\/3664476.3664481","10.1145\/3664476"],"URL":"https:\/\/doi.org\/10.1145\/3664476.3664481","relation":{},"subject":[],"published":{"date-parts":[[2024,7,30]]},"assertion":[{"value":"2024-07-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}