activity
20082025
most citedOn the Utility of Anonymized Flow Traces for Anomaly Detection

9 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2025

Towards the ideals of Self-Recovery and Metadata Privacy in Social Vault Recovery with Apollo

Shailesh Mishra, Simone Colombo, Pasindu Tennage +2

Social recovery enables users to enlist trusted contacts, or trustees, to help recover lost access to end-to-end-encrypted repositories or vaults. However, existing recovery mechan…

cs.NI2011★ 2 cited

Reduce to the Max: A Simple Approach for Massive-Scale Privacy-Preserving Collaborative Network Measurements (Extended Version)

Fabio Ricciato, Martin Burkhart

Privacy-preserving techniques for distributed computation have been proposed recently as a promising framework in collaborative inter-domain network monitoring. Several different a…

cs.NI2009★ 1 cited

The Risk-Utility Tradeoff for IP Address Truncation

Martin Burkhart, Daniela Brauckhoff, Martin May +1

Network operators are reluctant to share traffic data due to security and privacy concerns. Consequently, there is a lack of publicly available traces for validating and generalizi…

cs.NI2009★ 6 cited

SEPIA: Security through Private Information Aggregation

Martin Burkhart, Mario Strasser, Dilip Many +1

Secure multiparty computation (MPC) allows joint privacy-preserving computations on data of multiple parties. Although MPC has been studied substantially, building solutions that a…

cs.NI2008★ 9 cited

On the Utility of Anonymized Flow Traces for Anomaly Detection

Martin Burkhart, Daniela Brauckhoff, Martin May

The sharing of network traces is an important prerequisite for the development and evaluation of efficient anomaly detection mechanisms. Unfortunately, privacy concerns and data pr…

cs.NI2008★ 6 cited

Flow-level Characteristics of Spam and Ham

Dominik Schatzmann, Martin Burkhart, Thrasyvoulos Spyropoulos

Despite a large amount of effort devoted in the past years trying to limit unsolicited mail, spam is still a major global concern. Content-analysis techniques and blacklists, the m…