ReadMe

Data hosted and ReadMe file provided by AZSecure Data and the University of Arizona Artificial Intelligence Lab. Citation information below.

ISOT.zip file contains:
ReadMe.txt
isot-dataset.pdf
ISOT_Botnet_DataSet_2010.tar.gz

This ISOT Botnet dataset combines datasets containing malicious traffic from the French chapter of the honeynet project involving the Storm and Waledac botnets and one dataset each from  the Traffic Lab at Ericsson Research in Hungary and the Lawrence Berkeley National Lab (LBNL).  The Ericsson Lab dataset contains a large number of general traffic from a variety of applications, including HTTP web browsing behavior, World of Warcraft gaming packets, and packets from popular bittorrent clients such as Azureus. The datasets from the LBNL trace data to provide additional non-malicious background traffic. 

Date range of data: October 2004 to January 2005


How to cite this dataset
Author(s): Sherif Saad, Issa Traore, Ali A. Ghorbani, Bassam Sayed, David Zhao, Wei Lu, John Felix, Payman Hakimian

Title: ISOT Botnet Dataset

Publisher: AZSecure Data

Publication date: June 3, 2016


IEEE formatted citation:
S. Saad, I. Traore, A.A. Ghorbani, B. Sayed, D. Zhao, W. Lu, J. Felix, P. Hakimian. ISOT Dataset. AZSecure Data. Available http://www.azsecure-data.org/ [June 2016]



Also cite the following related publications:

Sherif Saad, Issa Traore, Ali A. Ghorbani, Bassam Sayed, David Zhao, Wei Lu, John Felix, Payman Hakimian, 
"Detecting P2P botnets through network behavior analysis and machine learning", Proceedings of 9th Annual Conference on Privacy, 
Security and Trust (PST2011), July 19-21, 2011, Montreal, Quebec, Canada