The principle of information security safeguards is a key information principle contained in every privacy legislation measure, framework, and guideline. This principle requires data controllers to use an adequate level of safeguards before processing personal information. However, privacy literature neither explains what this adequate level is nor how to achieve it. Hence, a knowledge gap has ...

In this paper we present the Sampling Privacy mechanism for privately releasing personal data. Sampling Privacy is a sampling based privacy mechanism that satisfies differential privacy.

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t a r t i c l e i n f o Privacy concern has been identified as a major factor hindering the growth of e-busine...

Concern over information privacy is widespread and rising. However, prior research is silent about the value of information privacy and the benefit of privacy protection. We conducted a conjoint analysis to explore individuals’ trade-offs between the benefits and costs of providing personal information to Websites. We find that economic incentives (monetary reward and future convenience) do aff...

In the recent years, social networks (SN) are now employed for communication and networking, socializing, marketing, as well as one’s daily life. Billions of people in the world are connected though various SN platforms and applications, which results in generating massive amount of data online. This includes personal data or Personally Identifiable Information (PII). While more and more data a...

What is Privacy Preserving Data Mining is the process of hiding and protecting sensitive data of individuals. In the recent era, we use many applications which require personal sensitive data of individuals. Thus, people are more concern about sharing their personal sensitive information due to increase of privacy intrusions. Since last two decades many Privacy Preserving Data Mining techniques...

Agents interacting in open environments such as Internet are often in charge of personal information. In order to protect the privacy of human users, such agents have to be aware of the normative context regarding personal data protection (applicable laws and other regulations). These privacy-related norms usually refer to deadlines and durations. To represent these regulations, we introduce th...

Protecting personal information privacy has become a controversial issue among online social network providers and users. Most social network providers have developed several techniques to decrease threats and risks to the users’ privacy. These risks include the misuse of personal information which may lead to illegal acts such as identity theft. This study aims to measure the awareness of user...

Existing approaches for fine-grained access control for RDF data suffer from high overhead, making them ill-suited for mobile devices. This makes it difficult to develop mobile applications that manage personal RDF data in a privacy preserving manner. In this paper we propose a new approach to realise fine-grained access control for mobile devices. We show how fine-grained privacy settings for ...

M. Kudo Y. Araki H. Nomiyama S. Saito Y. Sohda Recent incidents involving the loss of personal information and identity theft have raised concerns worldwide over information privacy. In Japan, the Personal Information Protection Act went into effect in April 2005, requiring every enterprise to manage sensitive personal information on servers, workstations, and personal computers throughout the ...