|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Key amplification in unstructured networks
If you have a question about this talk, please contact Saar Drimer.
There are a number of scenarios where users wishing to communicate, share a weak secret. Often, they are also part of a common social network. Connections (edges) from the social network are represented as shared link keys between participants (vertices). We propose several mechanisms that utilise the graph topology of such a network, to increase the entropy of weak pre-shared secrets. Our proposals are based on using random walks to efficiently identify a chain of common acquaintances between Alice and Bob, each of which contribute entropy to the final key. Our mechanisms exploit one-wayness and convergence properties of Markovian random walks to, firstly, maximize the set of potential entropy contributors, and second, to resist any contribution from dubious sources by exploiting the community information characteristically present in real world network topologies.
This talk is part of the Computer Laboratory Security Seminar series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsNeonatal Neuroscience Seminars CSC Lectures on Human Development Perspectives from Cambridge Assessment
Other talksDiscovery of methylation loci and analyses of differential methylation in Dicer-like mutants of Arabidopsis Gillian Beer on Virginia Woolf's Mrs Dalloway Cruelty, Violence and Politics in Montaigne Pregnancy and Childbirth: Discussing current academic research and clinical expertise to ensure a healthy pregnancy. The Challenge of a Dimensional Approach to Psychosis Prof Iain Hagan - title tbc