From this location you can download several traces, including anonymized packet headers (tcpdump/libcap), Netflow version 5 data, a labeled dataset for intrusion detection, and Dropbox traffic traces. More information on the data collection and on the anonymization procedures can be found below. When using these traces, please refer to the Acceptable Use policy.
- 1 Cloud Storage
- 2 Intrusion Detection
- 3 Pcap Traces
- 4 Netflow Traces
- 5 Software
- 6 Other Trace Sources
You can download from this link the software and data presented in:
- "Benchmarking Personal Cloud Storage" by Idilio Drago, Enrico Bocchi, Marco Mellia, Herman Slatman and Aiko Pras. In Proceedings of the 13th ACM Internet Measurement Conference. IMC 2013.
In this experiment we collected basic statistics of what files are stored in Dropbox folders.
Download our datasets:
Some results derived from these data can be found in here.
You can download from this page the flow data used in the following paper:
- Drago, I. and Mellia, M. and Munafò, M. M. and Sperotto, A. and Sadre, R. and Pras, A. (2012) Inside Dropbox: Understanding Personal Cloud Storage Services. Proceedings of the 12th ACM Internet Measurement Conference - IMC'12, Boston, Nov. 2012
First Data Capture
These datasets were captured from March 24, 2012 to May 5, 2012.
Second Data Capture
This dataset was captured from June 01, 2012 to July 31, 2012.
In this scenario, a honeypot (running in a virtual machine) ran for 6 days, from Tuesday 23 September 2008 12:40:00 GMT to Monday 29 September 2008 22:40:00 GMT. The honeypot was hosted in the University of Twente network and directly connected to the Internet. The monitoring window is comprehen- sive of both working days and weekend days. The data collection resulted in a 24 GB dump file containing 155.2 million packets. The processing of the dumped data and logs, collected over a period of 6 days, resulted in 14.2M flows and 7.6M alerts. More information on the labeling procedure can be found here.
These datasets are a collection of anonymized packet headers (tcpdump/libcap) and NetFlow data collected from various locations in the Netherlands. More information on the data collection and anonymization procedures can be found here. You can find bellow a short description of the scenarios where the datasets where collected.
In scenario 1, the 300 Mbit/s (a trunk of 3 x 100 Mbit/s) ethernet link has been measured, which connects a residential network of a university to the core network of this university. On the residential network, about 2000 students are connected, each having a 100 Mbit/s ethernet access link. The residential network itself consists of 100 and 300 Mbit/s links to the various switches, depending on the aggregation level. The measured link has an average load of about 60%. Measurements have taken place in July 2002.
In the second scenario, the 1 Gbit/s ethernet link connecting a research institute to the Dutch academic and research network has been measured. There are about 200 researchers and support staff working at this institute. They all have a 100 Mbit/s access link, and the core network of the institute consists of 1 Gbit/s links. The measured link is only mildly loaded, usually around 1%. The measurements are from May - August 2003.
This dataset was collected in a large college. Their 1 Gbit/s link (i.e., the link that has been measured) to the Dutch academic and research network carries traffic for over 1000 students and staff concurrently, during busy hours. The access link speed on this network is, in general, 100 Mbit/s. The average load on the 1 Gbit/s link usually is around 10-15%. These measurements have been done from September - December 2003.
In scenario 4, the 1 Gbit/s aggregated uplink of an ADSL access network has been monitored. A couple of hundred ADSL customers, mostly student dorms, are connected to this access network. Access link speeds vary from 256 kbit/s (down and up) to 8 Mbit/s (down) and 1 Mbit/s (up). The average load on the aggregated uplink is around 150 Mbit/s. These measurements are from February - July 2004.
The dataset Packet Headers 5 was collected in a hosting-provider, i.e. a commercial party that offers floor- and rack-space to clients who want to connect, for example, their WWW-servers to the Internet. At this hosting-provider, these servers are connected at (in most cases) 100 Mbit/s to the core network of the provider. The bandwidth capacity level of this hosting-provider’s uplink (that we have measured) is around 50 Mbit/s. These measurements are from December 2003 - February 2004.
In scenario 6, a 100 Mbit/s Ethernet link connecting an educational organization to the internet has been measured. This is a relatively small organization with around 35 employees and a little over 100 students working and studying at this site (the headquarter location of this organization). All workstations at this location ( 100 in total) have a 100Mbit/s Lan connection. The core network consists of a 1 Gbit/s connection. The recordings took place between the external optical fiber modem and the first firewall. The measured link was only mildly loaded during this period. These measurements are from May - June 2007.
The Netflow version 5 data was recorded in the access router connecting a university to its ISP. It contains flow information about most of the incoming and outgoing university’s traffic and some internal traffic as well. The traces cover a period of time of two working days, namely between Wednesday August 1st 2007, 00:00 and Thursday August 2nd 2007, 23:59. The university has /16 network providing connectivity to the employees and the students on its buildings and the campus. The university is connected to its ISP through a 10 Gbps optical link with an average load of 650 Mbps and peaks up to 1.0 Gbps.
The source code of the application based in AnonTool API, used to anonymize the Netflow data can be found here.