In this workshop, we will demonstrate how machine learning (ML) can enhance intrusion detection systems (IDS) and enable the detection of more complex cyber attacks. Through practical, hands-on activities, we will cover the main machine learning techniques used in state-of-the-art IDSs, as well as the essential ML concepts needed to understand these techniques.
Don’t miss this opportunity!
Register now through this online form!
Mini-bio: Henrique Ferraz Arcoverde is a cybersecurity expert with over 15 years of experience in the field. He holds a Master’s degree in Computer Science from the Center for Informatics at the Federal University of Pernambuco (CIn/UFPE) and is currently pursuing a Ph.D. in the same field at CIn/UFPE. Henrique is the CTO at Tempest Security Intelligence, a leading cybersecurity company in Brazil. His expertise lies in identifying and mitigating security vulnerabilities and implementing intrusion detection mechanisms. With a passion for staying up-to-date with the latest industry trends and technologies, Henrique actively contributes to advancing cybersecurity through research and practical applications.
Mini-bio: Paulo Freitas de Araujo Filho is an electronics engineer and holds a Master’s degree in Computer Science from UFPE, a Ph.D. in Computer Science from UFPE, and a Ph.D. in Electrical Engineering from École de Technologie Supérieure (ÉTS, Canada). With published articles and patents in the field, Paulo was one of only two researchers selected worldwide in 2022 for the prestigious Microsoft Research Ph.D. Fellowship in Security, Privacy, and Cryptography. He received the Best Ph.D. Thesis Award of 2023 at the Thesis and Dissertation Contest (CTD) of the Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) 2024 and secured second place at the CTD of the Brazilian Computing Society Congress (CSBC) 2024. Since 2023, he has been a faculty member at CIn-UFPE. His main research interests are cybersecurity, intrusion detection systems, artificial intelligence, and adversarial attacks.
Mini-bio: Paulo Matana da Rocha holds a Bachelor’s degree in Computer Science with an emphasis on Data Science from the University of São Paulo (USP) and is pursuing a Master’s degree in Computer Science at the Federal University of Pernambuco (UFPE). He is part of the Research and Development (R&D) team at Tempest Security Intelligence, where he works on developing intrusion detection systems in corporate environments using machine learning.
Mini-bio: Júlio Cesar Farias da Luz is part of the Research and Development (R&D) team at Tempest Security Intelligence and is an undergraduate student in Computer Engineering at UFPE. His research interests include intrusion detection systems and other artificial intelligence applications focused on cybersecurity.
Workshop Format: In-person.
When? Monday, September 16, 2024
Time? From 09:00 to 17:30
Maximum Number of Participants: 40 people.
Equipment and Configuration Requirements for Participants:
Knowledge Prerequisites for Participants:
