IACR News item: 24 March 2023
Joël Alwen, Marta Mularczyk, Yiannis Tselekounis
ePrint Report
Continuous Group Key Agreement (CGKA) lets a evolving group of clients agree on a sequence of group keys. An important application of CGKA is scalable asynchronous end-to-end (E2E) encrypted group messaging.
A major problem preventing the use of CGKA over unreliable infrastructure are so-called forks. A fork occurs when group members have diverging views of the group's history (and thus its current state); e.g. due to network or server failures. Once communication channels are restored, members resolve a fork by agreeing on the state of the group again. Today's CGKA protocols make fork resolution challenging, as natural resolution strategies seem to conflict with the way the protocols enforce group state agreement and forward secrecy. Meanwhile, secure group messaging protocols which do support fork resolution do not scale nearly as well as CGKA does.
In this work, we pave the way to practical scalable E2E messaging over unreliable infrastructure. To that end, we generalize CGKA to Fork Resilient-CGKA which allows clients to process significantly more types of out-of-order network traffic. This is important for many natural fork resolution procedures as they are based, in part, on replaying missed traffic. Next, we give two FR-CGKA constructions: a practical one based on the CGKA underlying the MLS messaging standard and an optimally secure one (albeit with only theoretical efficiency). To further assist with fork resolution, we introduce a simple new abstraction to describe a client's local protocol state. The abstraction describes all and only the information relevant to natural fork resolution, making it easier for higher-level fork resolution procedures to work with and reason about. We define a black-box extension of an FR-CGKA which maintains such a description of a client's internal state. Finally, as a proof of concept, we give a basic fork resolution protocol.
A major problem preventing the use of CGKA over unreliable infrastructure are so-called forks. A fork occurs when group members have diverging views of the group's history (and thus its current state); e.g. due to network or server failures. Once communication channels are restored, members resolve a fork by agreeing on the state of the group again. Today's CGKA protocols make fork resolution challenging, as natural resolution strategies seem to conflict with the way the protocols enforce group state agreement and forward secrecy. Meanwhile, secure group messaging protocols which do support fork resolution do not scale nearly as well as CGKA does.
In this work, we pave the way to practical scalable E2E messaging over unreliable infrastructure. To that end, we generalize CGKA to Fork Resilient-CGKA which allows clients to process significantly more types of out-of-order network traffic. This is important for many natural fork resolution procedures as they are based, in part, on replaying missed traffic. Next, we give two FR-CGKA constructions: a practical one based on the CGKA underlying the MLS messaging standard and an optimally secure one (albeit with only theoretical efficiency). To further assist with fork resolution, we introduce a simple new abstraction to describe a client's local protocol state. The abstraction describes all and only the information relevant to natural fork resolution, making it easier for higher-level fork resolution procedures to work with and reason about. We define a black-box extension of an FR-CGKA which maintains such a description of a client's internal state. Finally, as a proof of concept, we give a basic fork resolution protocol.
Additional news items may be found on the IACR news page.