Modelling, detection and mitigation of DDoS attacks

• Grant number: 23/13902-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Effective date (Start): March 01, 2024
• Effective date (End): February 28, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Acordo de Cooperação: MCTI/MC
• Principal Investigator: Aldri Luiz dos Santos
• Grantee: Jeandro de Mesquita Bezerra
• Host Institution: Instituto de Ciências Exatas (ICEx). Universidade Federal de Minas Gerais (UFMG). Ministério da Educação (Brasil). Belo Horizonte , SP, Brazil
• Associated research grant: 18/23098-0 - MENTORED: from modeling to experimentation - predicting and detecting DDoS and zero-day attacks, AP.TEM

Abstract

Intrusion detection is monitoring events that occur in a system to identify intrusions. An intrusion within this project's scope is defined as an attempt to compromise the availability of IoT services. The Post-Doc fellow involved in this project will act in the modelling, detecting and mitigating denial of service attacks in the network and application layers in IoT environments. As a result, a Network Intrusion Detection System (NIDS) will be developed that will have its performance evaluated in several realistic DoS scenarios in IoT environments. (AU)