Privacy Games for Syntactic Privacy Notions

It is well understood that the huge volumes of data captured in recent years have the potential to underpin significant research developments in many fields. But, to realise these benefits, all relevant parties must be comfortable with how this data is shared. At the heart of this is the notion of privacy --- which is recognised as being somewhat difficult to define. Previous authors have shown how privacy notions such as anonymity, unlinkability and pseudonymity might be combined into a single formal framework. In this paper we use and extend this work by defining privacy games for individual and group privacy within distributed environments. More precisely, for each privacy notion, we formulate a game that an adversary has to win in order to break the notion. Via these games, we aim to clarify understanding of, and relationships between, different privacy notions; we also aim to give an unambiguous understanding of adversarial actions. Additionally, we extend previous work via the notion of unobservability

Software Benchmarking of the 2nd^{\text{nd}} round CAESAR Candidates

The software performance of cryptographic schemes is an important factor in the decision to include such a scheme in real-world protocols like TLS, SSH or IPsec. In this paper, we develop a benchmarking framework to perform software performance measurements on authenticated encryption schemes. In particular, we apply our framework to independently benchmark the 29 remaining 2$^\text{nd}$ round candidates of the CAESAR competition. Many of these candidates have multiple parameter choices, or deploy software optimised versions raising our total number of benchmarked implementations to 232. We illustrate our results in various diagrams and hope that our contribution helps developers to find an appropriate cipher in their selection choice