Information privacy

About: Information privacy is a research topic. Over the lifetime, 25412 publications have been published within this topic receiving 579611 citations. The topic is also known as: data privacy & data protection.

Privacy integrated queries: an extensible platform for privacy-preserving data analysis

Abstract: Privacy Integrated Queries (PINQ) is an extensible data analysis platform designed to provide unconditional privacy guarantees for the records of the underlying data sets. PINQ provides analysts with access to records through an SQL-like declarative language (LINQ) amidst otherwise arbitrary C# code. At the same time, the design of PINQ's analysis language and its careful implementation provide formal guarantees of differential privacy for any and all uses of the platform. PINQ's guarantees require no trust placed in the expertise or diligence of the analysts, broadening the scope for design and deployment of privacy-preserving data analyses, especially by privacy nonexperts.

Protecting privacy, in continuous location-tracking applications

Abstract: Although some users might willingly subscribe to location-tracking services, few would be comfortable having their location known in all situations. The authors investigate disclosure-control algorithms that hide users' positions in sensitive areas and withhold path information that indicates which areas they have visited.

Privacy preserving association rule mining

Abstract: The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared between the broker, the requester, and the provider at runtime. In particular, new advances in data mining and knowledge discovery that allow for the extraction of hidden knowledge in an enormous amount of data, impose new threats on the seamless integration of information. We consider the problem of building privacy preserving algorithms for one category of data mining techniques, association rule mining. We introduce new metrics in order to demonstrate how security issues can be taken into consideration in the general framework of association rule mining, and we show that the complexity of the new heuristics is similar to that of the original algorithms.

Consumers’ Protection of Online Privacy and Identity

Abstract: This article examines online behaviors that increase or reduce risk of online identity theft. The authors report results from three consumer surveys that indicate the propensity to protect oneself from online identity theft varies by population. The authors then examine attitudinal, behavioral, and demographic antecedents that predict the tendency to protect one's privacy and identity online. Implications and suggestions for managers, public policy makers, and consumers related to protecting online privacy and identity theft are provided. ********** Identity theft, defined as the appropriation of someone else's personal or financial identity to commit fraud or theft, is one of the fastest growing crimes in the United States (Federal Trade Commission 2001) and is increasingly affecting consumers' online transactions. In the discussion of identity theft, the Internet represents an important research context. Because of its ability to accumulate and disseminate vast amounts of information electronically, the Internet may make theft of personal or financial identity easier. Indeed, online transactions pose several new threats that consumers need to be vigilant of, such as the placement of cookies, hacking into hard drives, intercepting transactions, and observing online behavior via spyware (Cohen 2001). Online identity theft through the use of computers does not necessarily have real space analogs as exemplifed by techniques of IP spoofing and page jacking (Katyal 2001). Recent instances of online identity theft appearing in the popular press include a teenager who used e-mail and a bogus Web page to gain access to individuals' credit card data and steal thousands of dollars from consumers (New York Times 2003), and cyber-thieves who were able to access tens of thousands of personal credit reports online (Salkever 2002). The purpose of this article, as depicted in Figure 1, is to explore the extent to which consumers are controlling their information online and whether privacy attitudes, offline data behaviors, online experience and consumer background predict the level of online protection practiced. There is an explicit link being made by privacy advocates that suggests controlling one's information is a step toward protecting oneself from identity theft (Cohen 2001; Federal Trade Commission 2001). To evaluate the level of customer protection, we analyze survey results of consumer online behaviors, many of which are depicted in Figure 1, and investigate their relationship to antecedent conditions suggested in the literature. [FIGURE 1 OMITTED] In particular, we address the following research questions: What is the relationship between offline data protection practices and online protection behavior? What is the relationship between online shopping behaviors and online protection behavior? What is the relationship between privacy attitudes and online protection behavior? What is the relationship between demographics and online protection behavior? The remainder of this article is organized in four sections. We begin in the first section by reviewing the risks consumers face online and the steps they can take to minimize their risk of privacy invasion and identity theft. In the second section, we describe three surveys of consumers' online behaviors related to online privacy and identity theft. We discuss the results in the third section and implications for managers, public policy makers, and consumers in the fourth and final section. ONLINE PRIVACY AND IDENTITY THEFT While identity theft has caught the government's, businesses', and the public's attention (Hemphill 2001; Milne 2003), the empirical scholarly literature in this area is limited to the closely related issue of online privacy. Research has measured consumers' concern for online privacy (Sheehan and Hoy 2000), their ability to opt out of online relationships (Milne and Rohm 2000), and the extent to which businesses have implemented fair information practices through the posting of their online privacy notices (Culnan 2000; Miyazaki and Fernandez 2001; Milne and Culnan 2002). …