The present study considers factors that motivate users of social networks to publish different types of privacy-related information to friends or even the public. In contrast to prior research, we do not limit our research scope to an individual's decision-making process (i.e., the formation of behavioral intentions) but also include actual behavior as observed among a group of real Facebook u...

Users of digital self-tracking devices increasingly benefit from multiple services related to their selftracking data. Simultaneously, service providers are dependent from these data to offer such services. Thereby, the willingness of users to provide such personal data heavily depends on benefits and risks associated with the disclosure. In this regard, the aim of our research is to investigat...

When filling out web forms, people typically do not want to submit every piece of requested information to every website. Instead, they selectively disclose information after weighing the potential benefits and risks of disclosure: a process called “privacy calculus”. Giving users control over what to enter is a prerequisite for this selective disclosure behavior. Exercising this control by man...

background and purpose: respecting confidentiality of documents and medical information about individuals, as one of the most important issues in medicine, guarantees patients' trust in the health system. therefore, this study is an attemp to design a valid and reliable tool to assess knowledge and attitudes of medical students about  the principles of  confidentiality and disclosure of patient...

Privacy protection is increasingly difficult in today’s information society. In this paper, we look at an important link in the chain of information protection: the file system, and propose mechanisms to enhance the disclosure control of personal data. The scheme, called the Hippocratic File System, stores personal data’s purpose and use limitation as the data’s label, propagates the label as t...

Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder who has access to these outputs and seeks to use them to disclose information about a survey respondent. One key concern relates to identity d...

Microdata protection is a hot topic in the field of Statistical Disclosure Control, which has gained special interest after the disclosure of 658000 queries by the America Online (AOL) search engine in August 2006. Many algorithms, methods and properties have been proposed to deal with microdata disclosure. One of the emerging concepts in microdata protection is k-anonymity, introduced by Samar...

k-anonymity is an important model in the field of privacy protection and it is an effective method to prevent privacy disclosure in micro-data release. However, it is ineffective for the attribute disclosure by the homogeneity attack. The existing models based on k-anonymity have solved this problem to a certain extent, but they did not distinguish the different values of the sensitive attribut...