CyVi: Visualization of Cyber-Attack and Defense Effects in Geographically Referenced Networks
2020
The assumption that technology makes the world a better place translates to naive optimism with every successful cyber-attack. Research has seen an uptake in cyber-security visualization to complement weaknesses in traditional cyber-defense systems. However, due to the onerous task of positively handling cyber-attack “attribution”, only a few of these solutions scale geographical referenced networks. Many real-world systems can be expressed as networks consisting of nodes connected by edges, thus this paper explores connectivity modeled in a geographically referenced network, to visualize cyber-attack effects on the technical space (i.e., computing assets). The paper also demonstrates effects of defense strategies handling illegal connections.
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