Authors | S. Mazumdar and T. Dreibholz |
Title | Towards a Privacy Preserving Data Flow Control via Packet Header Marking |
Afilliation | Communication Systems |
Project(s) | NorNet, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, The Center for Resilient Networks and Applications, GAIA |
Status | Published |
Publication Type | Proceedings, refereed |
Year of Publication | 2022 |
Conference Name | Proceedings of the 24th International Conference on High Performance Computing, Data, and Analytics (HPCC) |
Publisher | IEEE |
Place Published | Chengdu, Sichuan/People's Republic of China |
Keywords | Cloud, Data, Fog, P4, Packets, Privacy, Routing |
Abstract | {Computing infrastructure is becoming ubiquitous thanks to the advancement in computing and the network domain. Reliable network communication is essential to offer good quality services, but it is not trivial. There are privacy concerns. Metadata may leak user information even if traffic is encrypted. Some countries have data privacy preserving-related regulations, but end-users cannot control through which path, networks, and hardware their data packets should travel. Even worse, the user cannot declare their privacy preferences. This paper presents an approach to tackle such privacy issues through data privacy-aware routing. The user can specify their preferences for packet routing using marking and filtering. Routing can work according to such specifications. It is implemented by P4, allowing a vendor-independent realisation with standard off-the-shelf hardware and open-source software components. We presented the initial experimental results of a proof-of-concept run on a unified cloud/fog research testbed.} |
Citation Key | HPCC2022 |