|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 listsGurdon Inst baz21 science lists CILR workshop: Pragmatics in interfaces
Other talksPrediction of Mortality in Older People, and Individualized Healthspan-Promoting Interventions Development and evolution of neural crest contribution to the enteric nervous system The transient response of ice-shelf melting to ocean change Energy release rate in hydraulic fracture: Can we neglect an impact of the hydraulically induced shear stress? What's in my stuff? Accelerating Development in Biomedical Engineering