Cyber-security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. Providing security in such cyber-physical systems means, among other features, identifying threats generated by novel detrimental behaviors. This paper presents a tool based on a methodology that is intended to support city evolution and energy planning with a focus on threats due to novel and existing interconnections among different components. More in detail, we report a tool demonstration which shows the application of a tool devised to i) deal with security threats arising due to evolutions in a Smart City - intended as a complex cyber-physical system -, and ii) consequently perform threat analysis.

A Tool for Evolutionary Threat Analysis of Smart Grids / Zoppi, Tommaso; Ceccarelli, Andrea; Mori, Marco. - ELETTRONICO. - 203:(2017), pp. 205-211. (Intervento presentato al convegno Smart Grid Inspired Future Technologies tenutosi a London, UK nel 27-28/03/2017) [10.1007/978-3-319-61813-5_20].

A Tool for Evolutionary Threat Analysis of Smart Grids

ZOPPI, TOMMASO;CECCARELLI, ANDREA;MORI, MARCO
2017

Abstract

Cyber-security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. Providing security in such cyber-physical systems means, among other features, identifying threats generated by novel detrimental behaviors. This paper presents a tool based on a methodology that is intended to support city evolution and energy planning with a focus on threats due to novel and existing interconnections among different components. More in detail, we report a tool demonstration which shows the application of a tool devised to i) deal with security threats arising due to evolutions in a Smart City - intended as a complex cyber-physical system -, and ii) consequently perform threat analysis.
2017
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Smart Grid Inspired Future Technologies
London, UK
27-28/03/2017
Zoppi, Tommaso; Ceccarelli, Andrea; Mori, Marco
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1077205
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