The Experts below are selected from a list of 2088 Experts worldwide ranked by ideXlab platform
Alessandro Acquisti - One of the best experts on this subject based on the ideXlab platform.
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the effect of online Privacy Information on purchasing behavior an experimental study
Information Systems Research, 2011Co-Authors: Janice Y Tsai, Lorrie Faith Cranor, Serge Egelman, Alessandro AcquistiAbstract:Although online retailers detail their Privacy practices in online Privacy policies, this Information often remains invisible to consumers, who seldom make the effort to read and understand those policies. This paper reports on research undertaken to determine whether a more prominent display of Privacy Information will cause consumers to incorporate Privacy considerations into their online purchasing decisions. We designed an experiment in which a shopping search engine interface clearly and compactly displays Privacy policy Information. When such Information is made available, consumers tend to purchase from online retailers who better protect their Privacy. In fact, our study indicates that when Privacy Information is made more salient and accessible, some consumers are willing to pay a premium to purchase from Privacy protective websites. This result suggests that businesses may be able to leverage Privacy protection as a selling point.
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the effect of online Privacy Information on purchasing behavior an experimental study
2011Co-Authors: Janice Tsai, Lorrie Faith Cranor, Serge Egelman, Alessandro AcquistiAbstract:Although online retailers detail their Privacy practices in online Privacy policies, this Information often remains invisible to consumers, who seldom make the effort to read and understand those policies. This paper reports on research undertaken to determine whether a more prominent display of Privacy Information will cause consumers to incorporate Privacy considerations into their online purchasing decisions. We designed an experiment in which a shopping search engine interface clearly and compactly displays Privacy policy Information. When such Information is made available, consumers tend to purchase from online retailers who better protect their Privacy. In fact, our study indicates that when Privacy Information is made more salient and accessible, some consumers are willing to pay a premium to purchase from Privacy protective websites. This result suggests that businesses may be able to leverage Privacy protection.
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SOUPS - Power strips, prophylactics, and Privacy, oh my!
Proceedings of the second symposium on Usable privacy and security - SOUPS '06, 2006Co-Authors: Julia Gideon, Lorrie Faith Cranor, Serge Egelman, Alessandro AcquistiAbstract:While Internet users claim to be concerned about online Privacy, their behavior rarely reflects those concerns. In this paper we investigate whether the availability of comparison Information about the Privacy practices of online merchants affects users' behavior. We conducted our study using Privacy Finder, a "Privacy-enhanced search engine" that displays search results annotated with the Privacy policy Information of each site. The Privacy Information is garnered from computer-readable Privacy policies found at the respective sites. We asked users to purchase one non-Privacy-sensitive item and then one Privacy-sensitive item using Privacy Finder, and observed whether the Privacy Information provided by our search engine impacted users' purchasing decisions (participants' costs were reimbursed, in order to separate the effect of Privacy policies from that of price). A control group was asked to make the same purchases using a search engine that produced the same results as Privacy Finder, but did not display Privacy Information. We found that while Privacy Finder had some influence on non-Privacy-sensitive purchase decisions, it had a more significant impact on Privacy-sensitive purchases. The results suggest that when Privacy policy comparison Information is readily available, individuals may be willing to seek out more Privacy friendly web sites and perhaps even pay a premium for Privacy depending on the nature of the items to be purchased.
Sen-ching S. Cheung - One of the best experts on this subject based on the ideXlab platform.
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Anonymous subject identification and Privacy Information management in video surveillance
International Journal of Information Security, 2018Co-Authors: Ying Luo, Tommaso Pignata, Sen-ching S. Cheung, Riccardo Lazzeretti, Mauro BarniAbstract:The widespread deployment of surveillance cameras has raised serious Privacy concerns, and many Privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. Of equal importance are the Privacy and efficiency of techniques to first, identify those individuals for Privacy protection and second, provide access to original surveillance video contents for security analysis. In this paper, we propose an anonymous subject identification and Privacy data management system to be used in Privacy-aware video surveillance. The anonymous subject identification system uses iris patterns to identify individuals for Privacy protection. Anonymity of the iris-matching process is guaranteed through the use of a garbled-circuit (GC)-based iris matching protocol. A novel GC complexity reduction scheme is proposed by simplifying the iris masking process in the protocol. A user-centric Privacy Information management system is also proposed that allows subjects to anonymously access their Privacy Information via their iris patterns. The system is composed of two encrypted-domain protocols: The Privacy Information encryption protocol encrypts the original video records using the iris pattern acquired during the subject identification phase; the Privacy Information retrieval protocol allows the video records to be anonymously retrieved through a GC-based iris pattern matching process. Experimental results on a public iris biometric database demonstrate the validity of our framework.
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Privacy Information management for video surveillance
Biometric and Surveillance Technology for Human and Activity Identification X, 2013Co-Authors: Ying Luo, Sen-ching S. CheungAbstract:The widespread deployment of surveillance cameras has raised serious Privacy concerns. Many Privacy-enhancing schemes have been proposed to automatically redact images of trusted individuals in the surveillance video. To identify these individuals for protection, the most reliable approach is to use biometric signals such as iris patterns as they are immutable and highly discriminative. In this paper, we propose a Privacy data management system to be used in a Privacy-aware video surveillance system. The Privacy status of a subject is anonymously determined based on her iris pattern. For a trusted subject, the surveillance video is redacted and the original imagery is considered to be the Privacy Information. Our proposed system allows a subject to access her Privacy Information via the same biometric signal for Privacy status determination. Two secure protocols, one for Privacy Information encryption and the other for Privacy Information retrieval are proposed. Error control coding is used to cope with the variability in iris patterns and efficient implementation is achieved using surrogate data records. Experimental results on a public iris biometric database demonstrate the validity of our framework.
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Video Data Hiding for Managing Privacy Information in Surveillance Systems
EURASIP Journal on Information Security, 2009Co-Authors: Jithendra K. Paruchuri, Sen-ching S. Cheung, Michaelw HailAbstract:From copyright protection to error concealment, video data hiding has found usage in a great number of applications. In this work, we introduce the detailed framework of using data hiding for Privacy Information preservation in a video surveillance environment. To protect the Privacy of individuals in a surveillance video, the images of selected individuals need to be erased, blurred, or re-rendered. Such video modifications, however, destroy the authenticity of the surveillance video. We propose a new rate-distortion-based compression-domain video data hiding algorithm for the purpose of storing that Privacy Information. Using this algorithm, we can safeguard the original video as we can reverse the modification process if proper authorization can be established. The proposed data hiding algorithm embeds the Privacy Information in optimal locations that minimize the perceptual distortion and bandwidth expansion due to the embedding of Privacy data in the compressed domain. Both reversible and irreversible embedding techniques are considered within the proposed framework and extensive experiments are performed to demonstrate the effectiveness of the techniques.
Ying Luo - One of the best experts on this subject based on the ideXlab platform.
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Anonymous subject identification and Privacy Information management in video surveillance
International Journal of Information Security, 2018Co-Authors: Ying Luo, Tommaso Pignata, Sen-ching S. Cheung, Riccardo Lazzeretti, Mauro BarniAbstract:The widespread deployment of surveillance cameras has raised serious Privacy concerns, and many Privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. Of equal importance are the Privacy and efficiency of techniques to first, identify those individuals for Privacy protection and second, provide access to original surveillance video contents for security analysis. In this paper, we propose an anonymous subject identification and Privacy data management system to be used in Privacy-aware video surveillance. The anonymous subject identification system uses iris patterns to identify individuals for Privacy protection. Anonymity of the iris-matching process is guaranteed through the use of a garbled-circuit (GC)-based iris matching protocol. A novel GC complexity reduction scheme is proposed by simplifying the iris masking process in the protocol. A user-centric Privacy Information management system is also proposed that allows subjects to anonymously access their Privacy Information via their iris patterns. The system is composed of two encrypted-domain protocols: The Privacy Information encryption protocol encrypts the original video records using the iris pattern acquired during the subject identification phase; the Privacy Information retrieval protocol allows the video records to be anonymously retrieved through a GC-based iris pattern matching process. Experimental results on a public iris biometric database demonstrate the validity of our framework.
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Privacy Information management for video surveillance
Biometric and Surveillance Technology for Human and Activity Identification X, 2013Co-Authors: Ying Luo, Sen-ching S. CheungAbstract:The widespread deployment of surveillance cameras has raised serious Privacy concerns. Many Privacy-enhancing schemes have been proposed to automatically redact images of trusted individuals in the surveillance video. To identify these individuals for protection, the most reliable approach is to use biometric signals such as iris patterns as they are immutable and highly discriminative. In this paper, we propose a Privacy data management system to be used in a Privacy-aware video surveillance system. The Privacy status of a subject is anonymously determined based on her iris pattern. For a trusted subject, the surveillance video is redacted and the original imagery is considered to be the Privacy Information. Our proposed system allows a subject to access her Privacy Information via the same biometric signal for Privacy status determination. Two secure protocols, one for Privacy Information encryption and the other for Privacy Information retrieval are proposed. Error control coding is used to cope with the variability in iris patterns and efficient implementation is achieved using surrogate data records. Experimental results on a public iris biometric database demonstrate the validity of our framework.
Mauro Barni - One of the best experts on this subject based on the ideXlab platform.
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Anonymous subject identification and Privacy Information management in video surveillance
International Journal of Information Security, 2018Co-Authors: Ying Luo, Tommaso Pignata, Sen-ching S. Cheung, Riccardo Lazzeretti, Mauro BarniAbstract:The widespread deployment of surveillance cameras has raised serious Privacy concerns, and many Privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. Of equal importance are the Privacy and efficiency of techniques to first, identify those individuals for Privacy protection and second, provide access to original surveillance video contents for security analysis. In this paper, we propose an anonymous subject identification and Privacy data management system to be used in Privacy-aware video surveillance. The anonymous subject identification system uses iris patterns to identify individuals for Privacy protection. Anonymity of the iris-matching process is guaranteed through the use of a garbled-circuit (GC)-based iris matching protocol. A novel GC complexity reduction scheme is proposed by simplifying the iris masking process in the protocol. A user-centric Privacy Information management system is also proposed that allows subjects to anonymously access their Privacy Information via their iris patterns. The system is composed of two encrypted-domain protocols: The Privacy Information encryption protocol encrypts the original video records using the iris pattern acquired during the subject identification phase; the Privacy Information retrieval protocol allows the video records to be anonymously retrieved through a GC-based iris pattern matching process. Experimental results on a public iris biometric database demonstrate the validity of our framework.
Jimmy Nguyen - One of the best experts on this subject based on the ideXlab platform.
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HCI (11) - Does Privacy Information influence users' online purchasing behavior?
Lecture Notes in Computer Science, 2011Co-Authors: Jimmy NguyenAbstract:Web sites provide Privacy policies to inform users about how their personal Information is being handled. However, Privacy policies are usually difficult to find or are written in a legal language that is hard for the average user to understand. Thus, Privacy Information is often ignored by users. The goal of the present study was to determine whether more salient presentation of Privacy Information, through a summary provided by the Privacy Finder Web site, would influence user purchasing behavior. Specifically, we examined whether Privacy Finder influenced college students' comfort levels in making small and large purchases from familiar and unfamiliar Web sites in a simulated e-commerce task. Users were more comfortable purchasing inexpensive items, as well as making purchases from more familiar Web sites. However, Privacy Finder did not influence their purchasing behaviors or comfort levels for the different types of Web sites.
