{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-renewal-model-of-intrusion","title":"A Renewal Model of Intrusion","arxiv_id":"1709.08163","date":"2017-09-24","proceeding":null,"authors":["David Tolpin"],"abstract":"We present a probabilistic model of an intrusion in a renewal process. Given\na process and a sequence of events, an intrusion is a subsequence of events\nthat is not produced by the process. Applications of the model are, for\nexample, online payment fraud with the fraudster taking over a user's account\nand performing payments on the user's behalf, or unexpected equipment failures\ndue to unintended use.\n  We adopt Bayesian approach to infer the probability of an intrusion in a\nsequence of events, a MAP subsequence of events constituting the intrusion, and\nthe marginal probability of each event in a sequence to belong to the\nintrusion. We evaluate the model for intrusion detection on synthetic data and\non anonymized data from an online payment system.","url_abs":"http://arxiv.org/abs/1709.08163v5","url_pdf":"http://arxiv.org/pdf/1709.08163v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-renewal-model-of-intrusion","repo_url":"https://github.com/dtolpin/rmi-case-studies","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"intrusion-detection","task_name":"Intrusion Detection"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}