SCVIC-APT-2021
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/scvic-apt-2021
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资源简介：
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
提供机构：
Simsek, Murat; Kantarci, Burak; Mouftah, Hussein T.; Bagheri, Mehran; Shen, Yu; Liu, Jinxin; Djukic, Petar
