In recent years there has been a movement toward deployment of distributed approaches for electronic commerce. Intelligent software agents, for instance, may be instructed to act ...
The IBM Enterprise Privacy Architecture (EPA) is a methodology for enterprises to provide an enhanced and well-defined level of privacy to their customers. EPA is structured in f...
Privacy is an increasing concern in the marketplace. Although enterprises promise sound privacy practices to their customers, there is no technical mechanism to enforce them inter...
: A major privacy problem on the internet is the unrestricted sharing of user data between services and other parties. The EU privacy legislation grants the user the rights to rest...
Abstract. Privacy presents many puzzles. In particular, why is it eroding, given the high value people assign to their privacy? This extended argues that there are strong incentive...
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Advances in sensor networking and location tracking technology enable location-based applications but they also create significant privacy risks. Privacy is typically addressed t...
Marco Gruteser, Graham Schelle, Ashish Jain, Richa...
The Platform for Privacy Preferences (P3P) can be a viable tool for organizations to clarify their privacy promises. In this paper, we summarize our experiences and describe some ...
Recent work on anonymizing online social networks (OSNs) has looked at privacy preserving techniques for publishing a single instance of the network. However, OSNs evolve and a si...
Smriti Bhagat, Graham Cormode, Balachander Krishna...
Database outsourcing is an emerging data management paradigm which has the potential to transform the IT operations of corporations. In this paper we address privacy threats in da...