SCVIC-APT-2021
收藏IEEE2026-04-17 收录
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The dataset has been developed in Smart Connected Vehicles Innovation Centre (SCVIC) of the University of Ottawa in Kanata North Technology Park. In order to define a benchmark for Machine Learning (ML)-based Advanced Persistent Threat (APT) detection in the network traffic, we create a dataset named SCVIC-APT-2021, that can realistically represent the contemporary network architecture and APT characteristics.The original article where this work was initially presented is as follows: Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein Mouftah, Mehran Bagheri, Petar Djukic, “A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic”, IEEE Networking Letters, 2022



