README

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

emews-dataset.zip file contains:
dataset-1.txt
n51.eth0-2.pcap
n51.eth0-3.pcap
n51.eth0-4.pcap
n51.eth0-5.pcap
readme.txt

DESCRIPTION
A collection of PCAP data captured from our in-lab emulated network, using the CORE network emulator and the eMews framework we developed to generate packet traces and manage the experimental runs. The captures span from 1 hour to 10 hours in duration and are captured from an HTTPS and SSH server within the network.  Because these captures were performed in a controlled environment, we can guarantee that no malware or any other malicious behavior is present.  The network consists of 1,022 nodes, of which 844 incorporate autonomous web crawling activity, and 36 incorporate autonomous SSH interactions.



file types: PCAP, TXT

Date range of data: May 14-17, 2018

Collection method: 
Data was collected from a testbed located at the University of Texas at Dallas. Network testbed comprises an emulated network running CORE and eMews, housed on a dual Intel(R) Xeon(R) E5-2640 server. During a live network experiment run, data is collected using tcpdump/libpcap to a PCAP file or files.

Topics or keywords: network emulation, CORE, eMews, large-scale, HTTPS, SSH, PCAP

Links:  http://mews.sv.cmu.edu/research/emews
https://github.com/absolutefunk/emews




HOW TO CITE THIS DATASET

Author(s): Brian Ricks, Bhavani Thuraisingham


Title: eMews HTTPS and SSH Collection-1 Dataset

Publisher: AZSecure Data

Location: Copy and paste the location where you retrieve this file from within http://www.azsecure-data.org/ or use the DOI assigned to this digital object.

Publication date: June 2018


IEEE formatted citation:
B. Ricks, B. Thuraisingham, eMews HTTPS and SSH Collection-1 Dataset, AZSecure Data. Available http://www.azsecure-data.org/ [2018]

Also cite:
Brian Ricks, Patrick Tague, and Bhavani Thuraisingham, "Large-Scale Realistic Network Data Generation on a Budget," IEEE 19th International Conference on Information Reuse and Integration (IRI), Salt Lake City, UT, July 2018


FUNDING SOURCE:
National Science Foundation (#ACI-1443019)