U.S. flag   An unofficial archive of your favorite United States government website
Dot gov

Official websites do not use .rip
We are an unofficial archive, replace .rip by .gov in the URL to access the official website. Access our document index here.


We are building a provable archive!
A lock (Dot gov) or https:// don't prove our archive is authentic, only that you securely accessed it. Note that we are working to fix that :)

This is an archive
(replace .gov by .rip)

An Empirical Study on Flow-based Botnet Attacks Prediction: NIST Technical Note 2111
October 22, 2020

Today, NIST is publishing NIST Technical Note (TN) 2111, An Empirical Study on Flow-based Botnet Attacks Prediction. In the era of the Internet of Things, botnet threats are rising, which has prompted many studies on botnet detection and measurement. In contrast, this study aims to predict botnet attacks, such as massive spam emails and distributed denial-of-service attacks. To that end, this empirical study presents a prediction method for botnet attacks. The method leverages measurement of command and control (C2) activities and automated labeling by associating C2 with attacks. The method was evaluated using a large-scale, real-world, and long-term dataset. We hope our work will help develop further countermeasures against botnets and contribute to internet security.

Related Topics

Security and Privacy: analytics, botnets

Created October 22, 2020