This paper draws on data from USC, CSU, and U. Georgia, and an anonymous CDN, along with new classifications of block as client-heavy or server-heavy.
Unfortunately we cannot make the flow data avaialbe do to concerns about user privacy. (For our analysis, it has to have precise time, port, and IP address information, and that makes it sensitive.) You may request the CSU flow data from the via the LACREND project datsets in the DHS IMPACT program.
We do plan to make our classification of blocks availble. Please watch here for details, or contact us.
Observations of Address Liveness</b>. <i> IEEE International Conference on Traffic Monitoring and Analysis</i> (Dublin, Ireland, Jul. 2017), 1–9.</span> </span><a class="details" href="/bib/Mirkovic17a.html">Details</a></li>
 Jelena Mirkovic, Genevieve Bartlett, John Heidemann, Hao Shi and Xiyue Deng 2016. Do You See Me Now? Sparsity in Passive Observations of Address Liveness (extended). Technical Report ISI-TR-2016-710. USC/Information Sciences Institute. Details</li></ul>