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Cybersecurity research project releases new dataset

Author: Communications Office

Posted on Oct 23, 2019

Category: News and Notices

A new dataset to support the development of real-time cyberattack detectors has been released by the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick.

The cybersecurity dataset, named CICDDoS2019, will be used to benchmark Distributed Denial of Service (DDoS) attack detectors.

The dataset has been created by a CIC team and led by Dr. Arash Habibi Lashkari, CIC’s research coordinator and assistant professor at UNB’s Fredericton faculty of computer science.

“DDoS attacks are a menace to network security,” explains Dr. Lashkari. “They aim to exhaust the target networks with malicious traffic. Whilst many statistical methods have already been designed for DDoS attack detection, developing a real-time detector with low computational overhead is still one of the major challenges faced by cybersecurity researchers.” 

The existence of well-designed datasets is a vital part of the ongoing evaluation of new detection algorithms and techniques. The latest dataset contains up-to date, benign versions of common DDoS attacks, allowing researchers and developers to test their solutions. 

Dr. Ali Ghorbani, Director of CIC, says, “One of the most critical issues for businesses in the cybersecurity market is the lack of datasets to test their products before they launch. CIC’s datasets are widely used by industry as well as universities and researchers from around the globe in testing their security products by creating real-like attack scenarios, capturing malware behaviour patterns, and monitoring encrypted traffic nature.”

Further information on the project is available at the Canadian Institute for Cybersecurity. 


Category: News and Notices

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