SIDS-DDoS, a Smart Intrusion Detection System for Distributed Denial of Service Attacks

In the last few years, the Digital Services industry has grown tremendously, offering numerous services through the Internet and using a recent concept or business model called cloud computing. For this reason, new threats and cyber-attacks have appeared, such as Denial of Service attacks. Their mai...

Full description

Autores:

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad Tecnológica de Bolívar

Repositorio:

Repositorio Institucional UTB

Idioma:

eng

OAI Identifier:

oai:repositorio.utb.edu.co:20.500.12585/9152

Acceso en línea:

https://hdl.handle.net/20.500.12585/9152

Palabra clave:

Classification model
Data set
DoS attacks
Feature selection
Machine learning
Support vector machine
Classification (of information)
Feature extraction
Information services
Intrusion detection
Learning systems
Network security
Support vector machines
Web services
Business modeling
Classification models
Computer resources
Cross-validation technique
Data set
Distributed denial of service attack
Intrusion Detection Systems
Network bandwidth
Denial-of-service attack

Rights

restrictedAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/