Towards Industrial Security Through Real-time Analytics

Submitted by aekwall on Mon, 01/25/2021 - 12:51pm

Title	Towards Industrial Security Through Real-time Analytics
Publication Type	Conference Paper
Year of Publication	2020
Authors	Dangal, P., Bloom, G.
Conference Name	2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC)
Keywords	actuator security, actuators, cloud computing, composability, control stations, data rich information poor syndrome, DRIP syndrome, financial safety harms, Human Behavior, ICS community, industrial, industrial control, industrial control system, industrial control systems, industrial security, industrial setting, loop ICS architecture, low data utilization, Metrics, production engineering computing, pubcrawl, Real-time, real-time analytics, Resiliency, security, security breaches, security hardening, security of data
Abstract	Industrial control system (ICS) denotes a system consisting of actuators, control stations, and network that manages processes and functions in an industrial setting. The ICS community faces two major problems to keep pace with the broader trends of Industry 4.0: (1) a data rich, information poor (DRIP) syndrome, and (2) risk of financial and safety harms due to security breaches. In this paper, we propose a private cloud in the loop ICS architecture for real-time analytics that can bridge the gap between low data utilization and security hardening.
DOI	10.1109/ISORC49007.2020.00036
Citation Key	dangal_towards_2020

Groups: