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
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

Technologies

To know more
Case Study

Brescia: Sustainable Mobility Becomes a Game

An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.

ARIEN: an AI platform to support the fight against illegal drug trafficking

A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.

Research Project

QLMD: Quantum Computing for an efficient urban logistical ecosystem

Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.