Quantitatively Assessing and Visualising Industrial System Attack Surfaces
Quantitatively Assessing and Visualising Industrial System Attack Surfaces
Quantitatively Assessing and Visualising Industrial System Attack Surfaces
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CHAPTER 2. METHODOLOGY 29<br />
Figure 2.3: Vulnerable node information within visualisation<br />
result for later use. We pickle these results so that we do not exceed Google’s daily request<br />
limit of 5000 queries, but also because there are often repetitions. For example we found<br />
over 200 results in The Hague, <strong>and</strong> there is no need to repeat these location queries.<br />
At the end of a run of our code the city cache is pickled (saved to disc), for future use<br />
when we run another week of queries. This cache data will not alter between runs <strong>and</strong><br />
each city geocoding query should only be run once. This is in contrast to our exploit<br />
queries, which are cached on a session-only basis.
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