Advanced Persistent Threats Detection Through Machine Learning Techniques
Pedro Ramos Brandão1* and José Inácio Gonçalves Rodrigues2
ABSTRACT
An Advanced Persistent Threat (APT) can be defined as a targeted and very sophisticated cyberattack. System administrations of all institutions need tools to help prevent this type of attack from happening. Several approaches have already been presented for providing solutions to this type of problem, based on the life cycle of the attack. In recent times, some Machine Learning practices have been implemented in an attempt to ensure improvements in the ability to find and mitigate these threats.


















