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From Monitoring Templates to Security Monitoring and Threat Detection
This paper presents our pattern-based approach to run-time requirements monitoring and threat detection being developed as part of an approach to build frameworks supporting the construction of secure and dependable systems for ambient intelligence. Our patterns infra-structure is based on templates. From templates we generate event-calculus formulas expressing security requirements to monitor at run-time. From these theories we generate attack signatures, describing threats or possible attacks to the system. At run-time, we evaluate the likelihood of threats from run-time observations using a probabilistic model based on Bayesian networks
Side-channel based intrusion detection for industrial control systems
Industrial Control Systems are under increased scrutiny. Their security is
historically sub-par, and although measures are being taken by the
manufacturers to remedy this, the large installed base of legacy systems cannot
easily be updated with state-of-the-art security measures. We propose a system
that uses electromagnetic side-channel measurements to detect behavioural
changes of the software running on industrial control systems. To demonstrate
the feasibility of this method, we show it is possible to profile and
distinguish between even small changes in programs on Siemens S7-317 PLCs,
using methods from cryptographic side-channel analysis.Comment: 12 pages, 7 figures. For associated code, see
https://polvanaubel.com/research/em-ics/code
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