{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:20:05Z","timestamp":1757312405847,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031651748"},{"type":"electronic","value":"9783031651755"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-65175-5_30","type":"book-chapter","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T14:43:01Z","timestamp":1721918581000},"page":"423-436","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Detecting Web Bots via Keystroke Dynamics"],"prefix":"10.1007","author":[{"given":"August","family":"See","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Westphal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelius","family":"Weber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathias","family":"Fischer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,26]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Acien, A., Morales, A., Fierrez, J., Vera-Rodriguez, R.: BeCAPTCHA-Mouse: synthetic mouse trajectories and improved bot detection. arXiv:2005.00890 [cs], March 2021. http:\/\/arxiv.org\/abs\/2005.00890","DOI":"10.1016\/j.patcog.2022.108643"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Acien, A., Morales, A., Monaco, J.V., Vera-Rodriguez, R., Fierrez, J.: TypeNet: Deep Learning Keystroke Biometrics, January 2021. http:\/\/arxiv.org\/abs\/2101.05570","DOI":"10.1109\/IJCB48548.2020.9304908"},{"key":"30_CR3","unstructured":"\u00c7eker, H., Upadhyaya, S.: Sensitivity Analysis in Keystroke Dynamics using Convolutional Neural Networks. Technical report"},{"key":"30_CR4","unstructured":"DeAlcala, D., et al.: Statistical Keystroke Synthesis for Improved Bot Detection, July 2022. https:\/\/arxiv.org\/pdf\/2207.13394v2.pdf"},{"key":"30_CR5","doi-asserted-by":"publisher","unstructured":"Dhakal, V., Feit, A.M., Kristensson, P.O., Oulasvirta, A.: Observations on typing from 136 million keystrokes. In: Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April. Association for Computing Machinery, April 2018. https:\/\/doi.org\/10.1145\/3173574.3174220","DOI":"10.1145\/3173574.3174220"},{"key":"30_CR6","unstructured":"Dhariwal, P., Nichol, A.: Diffusion models beat GANs on image synthesis. In: Advances in Neural Information Processing Systems, vol.\u00a011 (2021)"},{"issue":"9","key":"30_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3477142","volume":"54","author":"M Guerar","year":"2021","unstructured":"Guerar, M., Verderame, L., Migliardi, M., Palmieri, F., Merlo, A.: Gotta captcha\u2019em all: a survey of 20 years of the human-or-computer dilemma. ACM Comput. Surv. (CSUR) 54(9), 1\u201333 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"30_CR8","unstructured":"Heath, N.: Expedia on how one extra data field can cost \\$12m (2010). https:\/\/www.zdnet.com\/article\/expedia-on-how-one-extra-data-field-can-cost-12m\/. Accessed 18 Oct 2021"},{"key":"30_CR9","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Advances in Neural Information Processing Systems, vol. 2020-December (2020)"},{"issue":"3","key":"30_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3447815","volume":"2","author":"C Iliou","year":"2021","unstructured":"Iliou, C., Kostoulas, T., Tsikrika, T., Katos, V., Vrochidis, S., Kompatsiaris, I.: Detection of advanced web bots by combining web logs with mouse behavioural biometrics. Digit. Threats Res. Pract. 2(3), 1\u201326 (2021)","journal-title":"Digit. Threats Res. Pract."},{"key":"30_CR11","doi-asserted-by":"publisher","unstructured":"Iliou, C., Kostoulas, T., Tsikrika, T., Katos, V., Vrochidis, S., Kompatsiaris, I.: Web bot detection evasion using generative adversarial networks. In: Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, CSR 2021, pp. 115\u2013120. Institute of Electrical and Electronics Engineers Inc., July 2021. https:\/\/doi.org\/10.1109\/CSR51186.2021.9527915","DOI":"10.1109\/CSR51186.2021.9527915"},{"key":"30_CR12","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: 32nd International Conference on Machine Learning, ICML 2015, vol.\u00a01 (2015)"},{"key":"30_CR13","unstructured":"Liu, W.: Introducing reCAPTCHA v3: the new way to stop bots (2018). https:\/\/developers.google.com\/search\/blog\/2018\/10\/introducing-recaptcha-v3-new-way-to. Accessed 20 May 2021"},{"key":"30_CR14","unstructured":"Machines, I.: Stop more bots. start protecting user privacy (2018). https:\/\/www.hcaptcha.com\/. Accessed 20 May 2021"},{"key":"30_CR15","unstructured":"Wang, P.: https:\/\/github.com\/lucidrains\/denoising-diffusion-pytorch"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10684\u201310695, June 2022","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"30_CR17","doi-asserted-by":"crossref","unstructured":"See, A., Wingarz, T., Radloff, M., Fischer, M.: Detecting web bots via mouse dynamics and communication metadata (2023). accepted for publication at International Conference on ICT Systems Security and Privacy Protection (IFIP SEC)","DOI":"10.1007\/978-3-031-56326-3_6"},{"key":"30_CR18","doi-asserted-by":"publisher","unstructured":"Silverman, B.: Density Estimation for Statistics and Data Analysis. Routledge, London, February 1998. https:\/\/doi.org\/10.1201\/9781315140919","DOI":"10.1201\/9781315140919"},{"key":"30_CR19","unstructured":"Sivakorn, S., Polakis, J., Keromytis, A.D.: I\u2019m not a human: breaking the google reCAPTCHA. Black Hat 14 (2016)"},{"key":"30_CR20","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15 (2014)"}],"container-title":["IFIP Advances in Information and Communication Technology","ICT Systems Security and Privacy Protection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-65175-5_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T14:47:46Z","timestamp":1721918866000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-65175-5_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031651748","9783031651755"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-65175-5_30","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"26 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SEC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on ICT Systems Security and Privacy Protection","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Edinburgh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sec2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipsec2024.co.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}