IP Accumulation Datasets

This web page documents our datasets about IP accumulation–counts of the number of active addresses per /24 IPv4 blocks over time. Our datasets are available upon request.

What data do you have? We current have data starting in 2020.

What is in the data? We document the format of accumulation datasets.

Relevant Publications

These datasets have been used in the following publications:

• peer-reviewed IMC paper about detecting changes in human behavior [1]
• peer-reviewed paper about visualizing Covid-WFH detection: [2]
• technical report [3]

• Xiao Song, Guillermo Baltra and John Heidemann 2023. Inferring Changes in Daily Human Activity from Internet Response. Proceedings of the ACM Internet Measurement Conference (Montreal, QC, Canada, Oct. 2023), to appear. [DOI] [PDF] [Dataset] Details
• Erica Stutz, Yuri Pradkin, Xiao Song and John Heidemann 2021. Visualizing Internet Measurements of Covid-19 Work-from-Home. Proceedings of the National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2021 Symposium) (Virtual Workshop, Dec. 2021), 5633–5638. [DOI] [PDF] Details
• Xiao Song and John Heidemann 2021. Measuring the Internet during Covid-19 to Evaluate Work-from-Home. Technical Report arXiv:2102.07433v4 [cs.NI]. USC/ISI. [PDF] Details

Most Recent Datasets

name	shortname	Start Date
ip_accumulation_a39-20200101	2020q1	2020-01-01
ip_accumulation_a40-20200401	2020q2	2020-04-01
ip_accumulation_a41-20200701	2020q3	2020-07-01
ip_accumulation_a46-20211101	2021q4	2021-11-01
ip_accumulation_a47-20220101	2022q1	2021-01-01

Getting this data

For the detailed formats of each dataset, please refer to the corresponding README file at our dataset list page.