This paper proposes a mechanism for sustaining privacy of a vehicle in a vehicular ad hoc network (VANET) through pseudonym update. In a VANET, vehicles on the road are involved in dissemination of information as they move. An association can be formed between the physical location of the source vehicle and the transmitted messages. This relationship between the physical vehicle and its identit...

Preserving the privacy of sensitive data is one of the major challenges which the information society has to face. Traditional approaches focused on the infrastructure for identifying data which is to be kept private and for managing access rights to these data. However, while these efforts are useful, they do not address an important aspect: While the sensitive data itself can be protected nic...

When patient data are shared for studying a specific disease, a privacy disclosure occurs as long as an individual is known to be in the shared data. Individuals in such specific disease data are thus subject to higher disclosure risk than those in datasets with different diseases. This problem has been overlooked in privacy research and practice. In this study, we analyze disclosure risks for ...

In this paper, we expand upon earlier analysis of location-service related privacy policies in the public and private sector. Our intent is to identify key privacy components in an effort to more clearly and consistently address the privacy expectations of the public through the protections provided them by service and product providers. Through use of content analysis, we aim to determine how ...

In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments. Systems that offer AAL technologies make extensive use of personal data in order to provide services that are context-aware and personalized. This makes privacy preservation a very important is...

With the phenomenal change in a way data are collected, stored and disseminated among various data analyst there is an urgent need of protecting the privacy of data. As when individual data get disseminated among various users, there is a high risk of revelation of sensitive data related to any individual, which may violate various legal and ethical issues. Statistical Disclosure Control (SDC) ...

The proliferation of mobile devices has given rise to novel user-centric applications and services. In current mobile systems, users gain access to remote servers over mobile network operators. These operators are typically assumed to be trusted and to manage the information they collect in a privacy-preserving way. Such information, however, is extremely sensitive and coveted by many companies...

The progress of location-based services has led to serious concerns on location privacy leakage. For effective and efficient location privacy preservation (LPP), existing methods are still not fully competent. They are often vulnerable under the identification attack with side information, or hard to be implemented due to the high computational complexity. In this paper, we pursue the high prot...

e-Science is getting more distributed and collaborative and data privacy quickly becomes a major concern, especially when the data contain sensitive information. Existing data access policies for privacy management are too restrictive for supporting the large variety of data analysis needs in e-Science. In this paper, we argue the need of a new type of policies that govern data privacy based on...

In this chapter, we discuss the problem of time series privacy preservation. A time series is a sequence of values that represent observations taken at constant time intervals. Time series data are prevalent in a wide range of domains and applications. However, data owners or publishers may not be willing to reveal the exact values of the time series due to privacy considerations. Thus, the dat...