SECPID 2017 at ARES Conference 2017

secpid2017_1CREDENTIAL and its partner project PRISMACLOUD are organizing a Workshop on Security, Privacy, and Identity Management in the Cloud at this year's ARES conference, the 12th International Conference on Availability, Reliability and Security on August 29 - September 2, 2017 in Reggio Calabria, Italy.

Over the last years, the computing paradigm has experienced a massive shift from local to cloud-based applications. As a result, users and organizations do no longer have full control over their data and services, but they rely on third-party cloud providers.

This development poses various challenges concerning the integrity and confidentiality of data as well as the privacy of users of such systems. Currently, no satisfactory solutions to these challenges exist, which is a roadblock for the large-scale deployment of cloud-based applications handling sensitive data such as electronic health records.

The aim of this symposium is to provide a platform to discuss innovative ideas related to the following questions:

* How can cloud services be made more trustworthy?
* How can we build distributed systems without single point of failure or trust?
* How to design end-to-end secure services in an untrusted environment?
* Which methodologies and technologies are required to integrate security and privacy by design?
* Is it possible to give back users full control over which data they want to reveal when and to whom?

The call for papers as well as the submission guidelines can be found >> here <<.

We are looking forward to your submissions, and interesting and fruitful discussions during the workshop sessions!

About PRISMACLOUD: The ambition of PRISMACLOUD is to develop and show-case cryptographic tools that protect the security and privacy of user data during its lifecycle in the cloud. In particular, the project focuses on the development of (information theoretically) secure storage solutions as well as efficient, privacy preserving yet verifiable computing on authenticated data.