Detection of DoS Attacks in IoT Networks Using Machine Learning and Multi-Objective Optimization
Given the characteristics of IoT devices and the growing trend in their number, the security of these devices is critical. In particular, this paper will focus on Denial of Service (DoS) attacks, which seek to overload a service or device by using a machine to render the device inactive. Two machine...
- Autores:
-
Soto Parada, Erich Giusseppe
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75191
- Acceso en línea:
- https://hdl.handle.net/1992/75191
- Palabra clave:
- DoS attacks
Machine Learning
Evolutionary algorithms
Inference times
Multi-objective optimization
Pseudo weights
Ingeniería
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International