Research

Publications

2022 A. Hota, J. Schönwälder: A Bayesian Model Combination based approach to Active Malware Analysis. IEEE Conference on Cyber Security and Resilience Workshop on Data Science for Cyber Security, July 2022 2021 M. Wolf, J. Schönwälder: Applying Metamorphic Testing to Homomorphic Cryptography. 6th IEEE/ACM International Workshop on Metamorphic Testing (MET 2021), June 2021 2020 M. Granderath, J. Schönwälder: A Resource Efficient Implementation of the RESTCONF Protocol for OpenWrt Systems. 17th IEEE/IFIP Network Operations and Management Symposium (NOMS 2020), April 2020 (best experience paper award) G.

20 Years Network Management Research Group

The Network Management Research Group of the Internet Research Task Force got 20 years old, it was approved on March 14th, 1999. We had a short retrospective at the 104th meeting of the Internet Engineering Task Force in Prague today. It is interesting to reflect on which problems we made progress and which problems are still largely unsolved. We surely have much better network management technologies in place today compared to what we had 20 years back.

Vantage Point Selection for IPv6 Measurements: Benefits and Limitations of RIPE Atlas Tags

We discussed the usage of system tags for performing vantage point selection of dual-stacked probes. Our exploration reveals how with around 2K dual-stacked probes, RIPE Atlas provides the richest source of vantage points for IPv6 measurement studies. User tags on the other hand are based on a manual process which is largely dependent on proactive participation of probe hosts. We show that user tags tend to become stale over time.

Measurement Research within the Python3 Ecosystem

In this talk, we present a set of tools that we find useful for measurement research and would like to share them with the larger RIPE community. Given the nature of the talk, we will make a live demo of running code snippets using the IPython notebook. A recording of our presentation can be found on Vimeo.

Lessons Learned From Using the RIPE Atlas Platform for Measurement Research

We gave a talk in which we share our experiences and lessons learned from using the RIPE Atlas platform for conducting measurement research. We describe how subtle rate limits can affect experiment design. We show how calibration of probes from hardware revision down to the firmware version is useful when analyzing measurement results. We describe the usefulness by showing how different hardware revisions affect measurement results. We show how per-hop aggregation mistakes during data analysis can have impacts on measurement results.

IPv6 Traffic Growth Update #2

Here is another update of our IPv6 traffic. Averaged over the last year, the IPv6 traffic is about 5% of the overall Internet traffic we have. This is pretty good given the fact that only some parts of Jacobs' network currently advertises IPv6. In particular, we have no IPv6 in the student dorms (and the graph clearly suggests that students are a major contributor to our Internet traffic - in particular during finals periods).

Measuring Happy Eyeballs at RIPE 66

Vaibhav Bajpai gave a talk about his work on measuring the effectiveness of happy eyeballs at the RIPE 66 meeting. The IETF has developed solutions that promote a healthy IPv4 and IPv6 co-existence. The happy eyeballs algorithm for instance, provides recommendations to application developers to help prevent bad user experience in situations where IPv6 connectivity is broken. We study the effectiveness of the happy eyeballs algorithm. A recording of the talk can be found on Vimeo.