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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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors evaluate the readability of a set of 312 online privacy notices across two periods and find that readability has declined and notices have grown in length over the period.
Abstract: This study evaluates the readability of a set of 312 online privacy notices across two periods and finds that the readability has declined and notices have grown in length over the period. The authors assess these findings against the public policy backdrop and make recommendations for improving current online privacy notices based on the study results.

159 citations

Journal ArticleDOI
TL;DR: The model from the study should contribute new knowledge concerning privacy issues and their shaping of self-disclosure on social networking sites and help networking sites service providers understand how to encourage users to disclose more information.

158 citations

Journal ArticleDOI
TL;DR: The proposed scheme fully preserves the privacy of the biometric data of every user, that is, the scheme does not reveal theBiometric data to anyone else, including the remote servers, through the GNY (Gong, Needham, and Yahalom) logic.
Abstract: A three-factor authentication scheme combines biometrics with passwords and smart cards to provide high-security remote authentication. Most existing schemes, however, rely on smart cards to verify biometric characteristics. The advantage of this approach is that the user's biometric data is not shared with remote server. But the disadvantage is that the remote server must trust the smart card to perform proper authentication which leads to various vulnerabilities. To achieve truly secure three-factor authentication, a method must keep the user's biometrics secret while still allowing the server to perform its own authentication. Our method achieves this. The proposed scheme fully preserves the privacy of the biometric data of every user, that is, the scheme does not reveal the biometric data to anyone else, including the remote servers. We demonstrate the completeness of the proposed scheme through the GNY (Gong, Needham, and Yahalom) logic. Furthermore, the security of our proposed scheme is proven through Bellare and Rogaway's model. As a further benefit, we point out that our method reduces the computation cost for the smart card.

158 citations

Journal ArticleDOI
TL;DR: This paper summarizes recent empirical research that illuminates the tradeoff between the informativeness of advertising and the degree of privacy intrusion in the context of targeted advertising.

158 citations

Journal ArticleDOI
TL;DR: This paper identifies several important aspects of integrating blockchain and ML, including overview, benefits, and applications, and discusses some open issues, challenges, and broader perspectives that need to be addressed to jointly consider blockchain andML for communications and networking systems.
Abstract: Recently, with the rapid development of information and communication technologies, the infrastructures, resources, end devices, and applications in communications and networking systems are becoming much more complex and heterogeneous. In addition, the large volume of data and massive end devices may bring serious security, privacy, services provisioning, and network management challenges. In order to achieve decentralized, secure, intelligent, and efficient network operation and management, the joint consideration of blockchain and machine learning (ML) may bring significant benefits and have attracted great interests from both academia and industry. On one hand, blockchain can significantly facilitate training data and ML model sharing, decentralized intelligence, security, privacy, and trusted decision-making of ML. On the other hand, ML will have significant impacts on the development of blockchain in communications and networking systems, including energy and resource efficiency, scalability, security, privacy, and intelligent smart contracts. However, some essential open issues and challenges that remain to be addressed before the widespread deployment of the integration of blockchain and ML, including resource management, data processing, scalable operation, and security issues. In this paper, we present a survey on the existing works for blockchain and ML technologies. We identify several important aspects of integrating blockchain and ML, including overview, benefits, and applications. Then we discuss some open issues, challenges, and broader perspectives that need to be addressed to jointly consider blockchain and ML for communications and networking systems.

158 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023562
20221,226
20211,535
20201,634
20191,255
20181,277