Platform for the Research and Analysis of Cybernetic Threats

Platform for the Research and Analysis of Cybernetic Threats

Thursday, March 21
4:50 PM - 5:30 PM
Room 124-125

This talk describes, from an architectural point of view, how to exploit the HDP + Nifi technological platform aimed at researching, exploiting and targeting events related to Cyber Security. The purpose of the system is to create a knowledge base related to the events, actors and operating methods with which the cyber attacks happened and may happen, collecting both real-time data from social networks and web pages or literature material on such episodes in batch modality. The process focuses text and graph analysis at scale thanks to Spark engine Metron and Kafka, on a complexly integrated tech stack, that enhances the capabilities of the algorithms and results to offer a flexible solution to the analysts. The system supports the user in determining the motivations and eventually the actual executors of the attacks and, hopefully, the instigators of the same, also thanks to a smart representation of data stored on a graph NoSQL database. A further aim of the system will be to determine, in a predictive way, the "symptoms" or the processes connected to the attacks.

Presentation Video


monica franceschini
Technical Manager
Engineeering Ingegneria Informatica
With more than fifteen years of experience in Java technologies, Monica is currently responsible for defining Big Data architectures for Engineering’s Data and Analytics Center of Excellence. She deals mainly with leading the Group in the development of projects and POCs, offering consulting services to clients and assisting the pre-sales phase by bringing in the contribution on Big Data technologies. She runs internal courses and for clients and also carries out activities to support the dissemination of Engineering’s expertise in this context, both nationally and internationally.