Smart grid, the next generation power grid, uses two
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way electricity and data flow by
integrating information and communication (ICT) infrastructure into its legacy system.
This allows for a self
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monitoring, self
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healing, adaptive power grid environment that
encourages distributed generation methods and user active participation. Due to the
huge network complexity, combined with the benefits that smart grid features offer,
there is a need for simulation environments that allow us to understand different aspects
of the smart grid ecosystem. The most in
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depth attempts use co
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simulation frameworks
combining both legacy and communication networks.
However, due to the critical nature of the availability of power related services, this
massive network of millions interconnected devices creates security concerns and
vulnerabilities. This thesis comprehends a description of the smart grid infrastructure
and the main simulation platforms that are being used to model its complex
environment. Emphasis is given to security related issues, by providing an overview of
the different cyber
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attack modeling techniques that are used to understand and confront
system and network vulnerabilities and threats. Finally, an analysis of both simulation
and emulation platforms that attempted to model attacks against parts of a smart grid
network, is been given.
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