Public dataset to help researchers predict malicious activity

Sara Barker reports:

Australian researchers have created what they are calling ‘the largest public available dataset of malicious internet activity’ of its kind. They hope it will help cybersecurity specialists predict what security threats the future could bring.

CRISO’s Data61, Macquarie University, University of Sydney, and Nokia Bell Labs developed the dataset, called FinalBlacklist, that spans 10 years from 2007-2017.

The dataset comprises 51.6 malicious activity reports involving 662,000 unique IP addresses across the globe.

Read more on Security Brief.

Related:

A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists