|Summary||This educational dataset describes methods for analyzing Internet Protocol (IP) traffic data destined to this unassigned address space (also referred to as darkspace) using data samples from the UCSD Network Telescope|
|Motivation||We hope that this educational dataset, and accompanying instructions, will help teachers introduce Internet data analysis concepts to students.|
|Duration||30 days 00:00:00 (2592000.0 s)|
|Data formats||pcap, text, Corsaro flow-|
|Geographic location||San Diego, CA, US|
|Primary contact||Paul Hick|
|Keywords||darknet, packet trace|
We show how to use different analysis methods to extract information from the raw data, providing step-
With this dataset we show how the raw data (in pcap format) can be reprocessed with the CAIDA Corsaro Software Suite to extract aggregated information. We then provide a sequence of exercises demonstrating the steps required to analyze the aggregated data for the purpose of isolating signatures of "Patch Tuesday" on April 10 in the Telescope data.
|For more information||http://|
This educational dataset uses Telescope data from April 2012.
18 data files (4.2 GiB)