Case Study
Big data for cybersecurity
We developed a data analytical platform in order to find, value and target specific cybersecurity events by highlighting correlations between cyber attacks and social networks specific events.
Where: italy
Where: italy
Challenge
Cyberthreats represent a constant threat for the security of nations, organizations, for every single person.
The need of our Client was that of improving its capability of identifying and targeting specific Cybersecurity events.
Approach
In order to do so, we developed a data analytical platform in order to find, value and target specific cybersecurity events by highlighting correlations between cyber attacks and social networks specific events.
Digital Ecosystem
Solution
Digital Ecosystem
Our solution analyzes an important selection of sources of Threat Intelligence, Deep and Dark web, web documents. By ingesting data within a data lake, it processes structured and unstructured textual information, generating a Knowledge Base (KB) consisting of a multigraph.
In it, millions of nodes represent words, concepts, while multiple types of links connect them by weighing their degree of association as captured by data through text mining algorithms.
Other algorithms allow the production of graphs that select the relevant subsets of links with respect to several optimal criteria.
Advanced visualization tools reduce the complexity and vastness of the graphs generated by the previous modules, allowing navigation.
Results
Enabling Advanced Graph Analysis and Semantic and statistical text Analysis
Integrating data from threat intelligence sources
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