| Grant number: | 23/13902-4 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | March 01, 2024 |
| End date: | February 28, 2025 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computer Systems |
| Agreement: | 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) | |
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