- Sponsor:
- sigops
The First Workshop on Measurement, Privacy, and Mobility (MPM'12) will gather researchers to discuss novel ideas about measurement, privacy, and mobility. The ever increasing need for our personal data, location, preferences and interests has raised the bar for regulations and techniques to catch up with the privacy and security aspects of such information. In this workshop we aim to discuss systems, methods, policies and techniques that help in profiling, data mining, offering location based services, while making an attempt in improving privacy preservation.
We aim to solicit research papers, work in progress papers and reports from a variety of disciplines, including but not limited to data mining, security, privacy, advertising, epidemics and information dissemination, mobility and location-based data services across academia and industry in order to create a dynamic inter-disciplinary workshop environment.
Proceeding Downloads
SecureSafe: a highly secure online data safe industrial use case
In this paper, we present the core security architecture of SecureSafe, a cloud service that provides a highly secure online storage for sensitive data. The architecture combines best practices in cryptography and security protocols with novel ...
A model of information flow control to determine whether malfunctions cause the privacy invasion
Privacy is difficult to assure in complex systems that collect, process, and store data about individuals. The problem is particularly acute when data arise from sensing physical phenomena as individuals are unlikely to realise that actions such as ...
Next place prediction using mobility Markov chains
In this paper, we address the issue of predicting the next location of an individual based on the observations of his mobility behavior over some period of time and the recent locations that he has visited. This work has several potential applications ...
ANOSIP: anonymizing the SIP protocol
Enhancing anonymity in the Session Initiation Protocol (SIP) is much more than sealing participants' identities. It requires methods to unlink the communication parties and relax their proximity identification. These requirements should be fulfilled ...
Confidential carbon commuting: exploring a privacy-sensitive architecture for incentivising 'greener' commuting
We discuss the problem of building a user-acceptable infrastructure for a large organisation that wishes to measure its employees' travel-to-work carbon footprint, based on the gathering of high resolution geolocation data on employees in a privacy-...
The impact of trace and adversary models on location privacy provided by K-anonymity
Privacy preserving mechanisms help users of location-based services to balance their location privacy while still getting useful results from the service. The provided location privacy depends on the users' behavior and an adversary's knowledge used to ...
An empirical study on IMDb and its communities based on the network of co-reviewers
The advent of business oriented and social networking sites on the Internet have seen a huge increase in number of people using them in recent years. With the expansion of Web 2.0, new types of websites have emerged such as online social networks, blogs ...
Providing secure and accountable privacy to roaming 802.11 mobile devices
Nowadays, roaming individuals require ubiquitous, effortless, secure and private "on-the-go" connectivity for their Mobile Device (MD). At the same time, WiFi Access Networks (ANs) need to offer connectivity to MDs in an accountable and credible manner ...
When browsing leaves footprints: automatically detect privacy violations
Web sites use a number of different techniques to gather information about the behavior and interests of their visitors. In many cases this collection happens without the knowledge of the visitors and is continued across different domains in the world ...
- Proceedings of the First Workshop on Measurement, Privacy, and Mobility
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
MPM '12 | 20 | 6 | 30% |
Overall | 20 | 6 | 30% |