The Department of Computer Engineering (DEI) of the “Instituto Superior de Engenharia do Porto” (ISEP), in collaboration with the Master's in Computer Engineering (MEI), invites to participate in the seminar “A Novel Approach to Network Traffic Analysis: the HERA tool”, that will take place on March 6th, at 6 p.m., in room B202.

Abstract
Cybersecurity threats highlight the need for robust network intrusion detection systems to identify malicious behaviour. These systems, however, rely heavily on large high-quality datasets to train machine learning models capable of detecting patterns and predicting threats. In the past two decades, researchers have produced a multitude of datasets with varying degrees of complexity and diversity. However, some of the more frequently used datasets generated with the widely used tool CICFlowMeter contain inaccuracies which can lead to skewed results and reduced system effectiveness. Moreover, the tools used to generate flow data can be difficult to use and unintuitive. For these reasons, HERA was created to streamline the creation of network intrusion detection datasets and solve the aforementioned problems having demonstrated accurate flow and label generation.

(+INFO)

Bio
Daniela Pinto is a PhD student at ISEP and researcher at Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD). She holds a master’s in information security from Faculty of Sciences of the University of Porto (FCUP) and is currently pursuing a PhD in Artificial Intelligence and Intelligent Systems Engineering at ISEP. Her research focuses on Network Security, with particular interest in the application of Artificial Intelligence (AI).

(+INFO)

Organization
This lecture is organized by QTDEI in collaboration with the Master's in Informatics Engineering (MEI) of the Engineering Institute of Porto (ISEP).