Preserving privacy whilst maintaining robust epidemiological predictions

Preserving privacy whilst maintaining robust epidemiological predictions.

Mathematical models are invaluable tools for quantifying potential epidemics and devising optimal control strategies in case of an outbreak. State-of-the-art models increasingly require detailed individual farm-based and sensitive data, which may not be available due to either lack of capacity for data collection or privacy concerns. However, in many situations, aggregated data are available fo...

Whilst Maintaining Robust Epidemiological Predictions

A Robust Privacy-Preserving Recommendation Algorithm

Privacy-preserving collaborative filtering schemes are key recommender system technologies for e-commerce field. They focus on alleviating information overload problem by providing personalized recommendations without deeply jeopardizing customers’ privacy. Like their non-private versions, privacy-preserving recommendation methods might be easily subjected to profile injection attacks for manip...

Flexible and Robust Privacy-Preserving Implicit Authentication

Implicit authentication consists of a server authenticating a user based on the user’s usage profile, instead of/in addition to relying on something the user explicitly knows (passwords, private keys, etc.). While implicit authentication makes identity theft by third parties more difficult, it requires the server to learn and store the user’s usage profile. Recently, the first privacy-preservin...

A Robust Conditional Privacy-Preserving Authentication Protocol in VANET

Recently, Lu et al. proposed an efficient conditional privacy preservation protocol, named ECPP, based on group signature scheme for secure vehicular communications. However, ECPP dose not provide unlinkability and traceability when multiple RSUs are compromised. In this paper, we make up for the limitations and propose a robust conditional privacy-preserving authentication protocol without los...