Abstract: This paper proposes building a dataset to be used in evaluation of Intrusion Detection Systems (IDS). We collected traffic in a real wireless network, processed such data and then evaluated IDS classification techniques with our processed data. Actually, we built a dataset to assess classification and pattern recognition standards. The outcome confirms that the built dataset may be deployed satisfactorily in evaluations IDS in wireless scenarios.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Ed’ Wilson Tavares Ferreira, Ailton Akira Shinoda, Ruy De Oliveira, Valtemir Emerencio Nascimento, Nelcileno Virgílio De Souza Araújo, "A Methodology for Building a Dataset to Assess Intrusion Detection Systems in Wireless Networks," WSEAS Transactions on Communications, vol. 14, pp. 113-120, 2015, DOI:
Ed’ Wilson Tavares Ferreira, Ailton Akira Shinoda, Ruy De Oliveira, Valtemir Emerencio Nascimento, Nelcileno Virgílio De Souza Araújo. A Methodology for Building a Dataset to Assess Intrusion Detection Systems in Wireless Networks.
WSEAS Transactions on Communications. 2015;14:113-120.