TitleOn the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control
Author (from another institution)
Research GroupAnálisis de datos y ciberseguridad
Keywordsprocess control systems
Multivariate Statistical Process Control
Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal ... [+]
Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous approaches have leveraged networklevel data for anomaly detection, or have disregarded theexistence of process disturbances, thus opening the possibility of mislabelling disturbances as attacks and vice versa. In thispaper we present an anomaly detection and diagnostic systembased on Multivariate Statistical Process Control (MSPC), thataims to distinguish between attacks and disturbances. For this end, we expand traditional MSPC to monitor process leveland controller level data. We evaluate our approach using the Tennessee-Eastman process. Results show that our approachcan be used to distinguish disturbances from intrusions to acertain extent and we conclude that the proposed approach canbe extended with other sources of data for improving results. [-]
Published atProceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN). Toulouse. 28 June- 1 August. IEEE, 2016
Document typeConference paper
VersionPostprint – Accepted Manuscript
Rights© 2016 IEEE Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Showing items related by title, author, creator and subject.
Vasquez Obando, Pablo José (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2017)Labor induction is defined as the artificial stimulation of uterine contractions for the purpose of vaginal birth. Induction is prescribed for medical and elective reasons. Success in labor induction procedures is related ...
Pérez Riaño, Alain (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)Innovation is a key process for Small and Medium Enterprises in order to survive and evolve in a competitive environment. Ideas and idea management are considered the basis for Innovation. Gathering data on how current ...
A Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steels Saez de Buruaga Echeandia, Mikel; Esnaola Ramos, Jon Ander; Aristimuño Osoro, Patxi Xabier; Soler Mallol, Daniel; Arrazola Arriola, Pedro José (Elsevier B.V., 2017)A coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case ...