A Scalable Specification-Agnostic Multi-Sensor Anomaly Detection System for IIoT Environments
Journal article, 2020

Advanced sensing is a key ingredient for intelligent control in Industrial Internet of Things (IIoT) environments. Coupled with enhanced communication capabilities, sensors are becoming increasingly vulnerable to cyberattacks, thereby jeopardizing the often safety-critical underlying cyber-physical system. One prominent approach to sensor-level attack detection in modern industrial environments, named PASAD, has recently been proposed in the literature. PASAD is a process-aware stealthy-attack detection mechanism that has shown promising capabilities in detecting anomalous, potentially malicious behavior through real-time monitoring of sensor measurements. Although fast and lightweight, a major limitation of PASAD is that it is univariate, meaning that only a single sensor can be monitored by one instance of the algorithm. This impediment poses serious concerns on its scalability, especially in modernized industrial environments, which typically employ a plethora of sensors. This paper generalizes PASAD to the multivariate case, where a plurality of sensors can be monitored concurrently with little added complexity. This generalization has the evident advantage of offering scalability potential for deployment in future-focused industrial environments, which are undergoing growing integration between the digital and physical worlds.

IIoT

PASAD

Departure-based detection

Critical infrastructure

Author

Wissam Aoudi

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Magnus Almgren

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

International Journal of Critical Infrastructure Protection

1874-5482 (ISSN)

Vol. 30 100377

Resilient Information and Control Systems (RICS)

Swedish Civil Contingencies Agency, 2015-09-01 -- 2020-08-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Other Engineering and Technologies not elsewhere specified

Embedded Systems

Robotics

DOI

10.1016/j.ijcip.2020.100377

More information

Latest update

10/19/2020