"AIDoS6 (Adversarial IDOS6) dataset"

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Authors: Abinaya Devi Chandrasekar, Parvathy Meenakshi Sundaram, Manoj Kumar Prabakaran
Cited by: 0

Abstract

"AIDoS6 is an adversarial extension of the IDOS6 dataset designed to enhance the robustness of security models against sophisticated evasion techniques and \"zero-day\" attacks. It was created by incorporating generative AI techniques, specifically the Conditional Tabular Generative Adversarial Network (CTGAN), to produce synthetic data samples that closely resemble real-world traffic. The samples from the generated dataset reveal a total of 3,06,129 of both normal traffic-based adversarial and attack traffic-based adversarial samples. This dataset samples will be helpful for the researchers to build a robust intrusion detection model. The primary purpose of AIDOS6 is to evaluate how well an intrusion detection system."

Fields of Study & Subjects

Network Security and Intrusion Detection Adversarial Robustness in Machine Learning Internet Traffic Analysis and Secure E-voting

Publication details

Journal / source
IEEE DataPort
Publication date
26 February 2026
Language
EN
Document type
Dataset