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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: To improve the efficiency of big data feature learning, the paper proposes a privacy preserving deep computation model by offloading the expensive operations to the cloud by using the BGV encryption scheme and employing cloud servers to perform the high-order back-propagation algorithm on the encrypted data efficiently forDeep computation model training.
Abstract: To improve the efficiency of big data feature learning, the paper proposes a privacy preserving deep computation model by offloading the expensive operations to the cloud. Privacy concerns become evident because there are a large number of private data by various applications in the smart city, such as sensitive data of governments or proprietary information of enterprises. To protect the private data, the proposed model uses the BGV encryption scheme to encrypt the private data and employs cloud servers to perform the high-order back-propagation algorithm on the encrypted data efficiently for deep computation model training. Furthermore, the proposed scheme approximates the Sigmoid function as a polynomial function to support the secure computation of the activation function with the BGV encryption. In our scheme, only the encryption operations and the decryption operations are performed by the client while all the computation tasks are performed on the cloud. Experimental results show that our scheme is improved by approximately 2.5 times in the training efficiency compared to the conventional deep computation model without disclosing the private data using the cloud computing including ten nodes. More importantly, our scheme is highly scalable by employing more cloud servers, which is particularly suitable for big data.

245 citations

Journal ArticleDOI
TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and is not available on IEEE Xplore for these articles.
Abstract: Cheap tags and technology simple and secure enough to ensure personal data privacy are required before retailers implement and consumers trust and confidently use them on a mass scale.

245 citations

Journal ArticleDOI
TL;DR: Clearly, there are several important advantages for employees and employers when employees bring their own devices to work, but there are also significant concerns about security privacy.
Abstract: Clearly, there are several important advantages for employees and employers when employees bring their own devices to work. But there are also significant concerns about security privacy. Companies and individuals involved, or thinking about getting involved with BYOD should think carefully about the risks as well as the rewards.

245 citations

Journal ArticleDOI
TL;DR: PriS is described, a security requirements engineering method, which incorporates privacy requirements early in the system development process and provides a holistic approach from ‘high-level’ goals to ‘privacy-compliant’ IT systems.
Abstract: A major challenge in the field of software engineering is to make users trust the software that they use in their every day activities for professional or recreational reasons. Trusting software depends on various elements, one of which is the protection of user privacy. Protecting privacy is about complying with user’s desires when it comes to handling personal information. Users’ privacy can also be defined as the right to determine when, how and to what extend information about them is communicated to others. Current research stresses the need for addressing privacy issues during the system design rather than during the system implementation phase. To this end, this paper describes PriS, a security requirements engineering method, which incorporates privacy requirements early in the system development process. PriS considers privacy requirements as organisational goals that need to be satisfied and adopts the use of privacy-process patterns as a way to: (1) describe the effect of privacy requirements on business processes; and (2) facilitate the identification of the system architecture that best supports the privacy-related business processes. In this way, PriS provides a holistic approach from ‘high-level’ goals to ‘privacy-compliant’ IT systems. The PriS way-of-working is formally defined thus, enabling the development of automated tools for assisting its application.

244 citations

Journal ArticleDOI
TL;DR: Results suggest that in order of importance only perceived severity, self-efficacy, perceived vulnerability, and gender are antecedents of information privacy concerns with social networking sites.

244 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