Alessandro Bolla, Federico Talentino
Threat Hunting driven by Cyber Threat Intelligence.
Rel. Paolo Ernesto Prinetto, Nicolò Maunero, Fabio De Rosa. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
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Abstract
The ever-increasing number of cyber-attacks and cyber-criminal activities necessitates the implementation of countermeasures to protect both public and private businesses. In Italy, the government has decided to take steps to ensure a high level of security for networks, information systems and services especially for the public administrations. The "Perimetro di Sicurezza Nazionale Cibernetica" (PSNC) was established and public and private stakeholders that provide crucial services for the maintenance of civil, social or economic activities that are essential to the state’s interests have been included in it. Given the clear demand for models, methodologies and tools to carry out operational tasks efficiently, this thesis focuses on Cyber Threat Intelligence and Cyber Threat Hunting technologies.
The goal of this thesis work is to propose a method for making intelligence data actionable leveraging analysis tools, Machine Learning and SIEMs
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