Optimized Anticipatory Adaptive Security Models for IoT-enabled Smart Grids

Abie, Habtamu


Utgivere: Norsk Regnesentral

Serie: NR-notat DART/10/20

År: 2020

ARKIV: hdl.handle.net/11250/2732266

The objective of this deliverable is to improve the accuracy of the adaptive mechanisms for different IoTs processing capabilities by applying high-level optimization using machine learning and AI approaches. In adaptive security models, the properties of feedback control loops affect the system design and architecture, besides making the control loops explicit, the control loops’ properties must be made explicit and optimized as well.