Methodology of risk assessment in case of unauthorized actions of an internal violator; Научная инициатива иностранных студентов и аспирантов

Bibliographic Details
Parent link:	Научная инициатива иностранных студентов и аспирантов.— 2026.— С. 548-553
Main Author:	Ojinnaka Chukwudi Afamefula Samuel
Corporate Author:	Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий
Other Authors:	Stepanov B. P. Boris Pavlovich
Summary:	An analytical framework is presented to assess and predict insider threats at nuclear installations by integrating behavioral indicators, access anomaly detection, rule based checks, and machine learning models. CERT dataset logs and psychometrics are fused into engineered features; ensemble and deep models produce interpretable composite risk scores for alerting and security response Текстовый файл
Language:	English
Published:	2026
Subjects:	электронный ресурс труды учёных ТПУ insider threats CERT dataset nuclear security nuclear physical protection artificial intelligence
Online Access:	conference_tpu-2026-C19_p548-553.pdf
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=688624

Internet

conference_tpu-2026-C19_p548-553.pdf