Coverage of my Research/Projects + Personal News
I serve as a PC member on the European IEEE Security and Privacy collocated workshop on Traffic Measurements for Cybersecurity (WTMC) and do academic reviewing on an ad-hoc per request basis. I accept reviewing work that falls within in my areas expertise: Internet measurements, and economics of cybersecurity and more broadly empirical cybersecurity research. For reviewing inquires that falls within my expertise please reach out, note however that I generally do not accept reviewing work on short notice and prefer reviewing for open-access work.
As a researcher I have developed or contributed to the development of tools which may be useful to others researchers and engineers. The most useful of these is probably pyasn. Pyasn is a python package that, allows one to historically lookup IP address to Autonomous System mappings from raw BGP data. In simpler language to find out in which network an IP addresses resided over different points of time. Below you will find a link to its source code and other useful information.
More recently, I have been working on padsxiv. It is a tool to collect extensive data from social media platforms' so-called (political) ad-libraries. with the purpose of making data collection, archiving, and analysis more accessible and easy. padsXiv can for instance be used to collect data on all political ads that ran in the US 2020 elections on Facebook's platforms retrospectively, or to collect ad data on the current ongoing elections as events are happening. A distintive feature of the tool is that the data it collects includes the images and videos that run along side ads which is part of the data not provided by the platforms through their standard APIs by default, nor via other transparency tools. If you are interested in this tool feel please contact me as it is still underdevelopment and not publicly available (yet).
Along side padsxiv, I'm also currently working on an political ads archiving project, to automatically collect all political-ads from social media platforms using padsxiv, on a daily basis, and further enrich the data with automatically transcribed video text, as well as extracted information from ad images, to enable more deep topic and context analysis. and extract text format content form archived ad images. If this is something that interests you don't hesititate to contact me as I am looking for funding to make this happen on a large scale.