Privacy preserving data sharing method for social media platforms

Yadav, Snehlata; Tiwari, Namita

doi:10.1371/journal.pone.0280182

Cited by 7 publications

(4 citation statements)

References 44 publications

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“…Technologies like homomorphic encryption allow for secure computation on encrypted financial data, enabling analysis without exposing the underlying information. PETs are increasingly employed in social media platforms to enhance user privacy by providing features like end-to-end encryption, anonymous authentication, and secure data sharing (Yadav, and Tiwari, 2023;Kaaniche, et al, 2022). These technologies empower users to maintain control over their personal information and communications.…”

Section: Applications Of Pets Across Domainsmentioning

confidence: 99%

Reviewing advancements in privacy-enhancing technologies for big data analytics in an era of increased surveillance

Olakunle Abayomi Ajala,

Chuka Anthony Arinze,

Onyeka Chrisanctus Ofodile

et al. 2024

World J. Adv. Eng. Technol. Sci.

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In the contemporary landscape of big data analytics, privacy concerns loom large, exacerbated by escalating surveillance measures. This review delves into the advancements of privacy-enhancing technologies (PETs) amidst this era of heightened scrutiny. The review explores the evolving landscape of PETs, highlighting their pivotal role in safeguarding individual privacy while enabling meaningful data analysis. Firstly, the review elucidates the escalating surveillance environment, characterized by ubiquitous data collection practices and the proliferation of sophisticated monitoring mechanisms. Against this backdrop, the imperative for robust privacy solutions becomes evident. Subsequently, the review navigates through the array of PETs, encompassing differential privacy, homomorphic encryption, secure multi-party computation, and federated learning, among others. Each technology is scrutinized for its efficacy in mitigating privacy risks without compromising analytical utility. Furthermore, the review delineates notable applications of PETs across diverse domains, including healthcare, finance, and social media. Case studies exemplify how PETs facilitate data sharing and collaborative analysis while preserving confidentiality and compliance with regulatory frameworks. Moreover, the review examines the challenges hindering the widespread adoption of PETs, such as computational overhead, interoperability issues, and regulatory ambiguities. Strategies for overcoming these hurdles are elucidated, encompassing advancements in algorithmic efficiency, standardization efforts, and policy advocacy. The review underscores the pivotal role of PETs in reconciling the imperatives of data analytics with the imperatives of privacy protection amidst escalating surveillance. It emphasizes the necessity for interdisciplinary collaboration among researchers, policymakers, and industry stakeholders to foster the development and deployment of effective PET solutions, thereby ensuring a harmonious balance between data utility and individual privacy rights in the digital age.

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Section: Applications Of Pets Across Domainsmentioning

confidence: 99%

Reviewing advancements in privacy-enhancing technologies for big data analytics in an era of increased surveillance

Olakunle Abayomi Ajala,

Chuka Anthony Arinze,

Onyeka Chrisanctus Ofodile

et al. 2024

World J. Adv. Eng. Technol. Sci.

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“…Satisfy user needs, so that consumers can feel the impulse to consume when they first see the product. (Yadav & Tiwari, 2023). Finally, visual communication designers should fully consider the use needs of consumers for the product and the possible expected uses when designing (Amiruzzaman & Bhuiyan, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Visual Communication Design Method in Folk Art Based on Multimedia Data Transmission Technology

Sun,

Kwak

2024

International Journal of Information Systems and Supply Chain Management

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With the rapid development of science and technology and China's economy, the internet, big data, computers, and multimedia technology are widely used in all walks of life to promote the application and improvement of visual communication design concepts, the gradual implementation of multimedia technology, and the continuous improvement of innovation. In this paper, from the multimedia transmission technology based on network coding, some key technologies in the network communication of data and video streams are studied in depth and, based on the transmission-quality assessment model, the working effect of the jitter-buffering algorithm and WebRTC jitter-buffering algorithm is compared in different network environments. The experimental results show that the jitter-buffering algorithm proposed in this paper has better working effect. This research is of great significance for the realization of multimedia transmission technology in next-generation networks.

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“…A broadcast encryption system [2], enables a sender to encrypt a message for any subset of users who are listening on a broadcast channel. Traditional traditional broadcast encryption (BE) schemes has some limitations e.g., user's privacy protection [3], BEPM overcomes these potential limitation of traditional broadcast encryption (BE) schemes. Construction of efficient BEPM cryptographic primitive is not a trivial task.…”

Section: Introductionmentioning

confidence: 99%

Secure and efficient online data sharing scheme using broadcast encryption with personalised message system

Yadav

Tiwari

2023

Preprint

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In the healthcare industry, online data sharing has become increasingly important, but it also raises significant security concerns. To address these concerns, we propose a secure and efficient online data sharing scheme that uses a cryptographic primitive called broadcast encryption with personalised message system. This notion is applicable to many realistic broadcast services that supports IoT and cloud technology. Specifically, in our system, the data owner creates personalized data for each legitimate user in a group and then transmits a common encrypted data for the entire group in a way that completely hides the subscribed user set from outsiders. Only authorized users can recover personalised data, while all authorized consumers can decrypt the common data. Proposed scheme employs shamir secret sharing scheme to fairly distribute and reconstruct secret among various set up authority to prevent the insider attack from malicious setup authority.We highlight the security consideration in such a scenario and capture the security requirements in the security model. Subsequently, we present a concrete scheme, which is proven CPA secure under the decisional bilinear Diffie-Hellman exponent assumption. In addition, it uses asymmetric pairings whereas rest of the schemes used symmetric pairings, which in turn leads to the smaller and constant compact size ciphertext, constant decryption keys, reduced channel requirement, prevent fault attacks on symmetric bilinear map, and, enhanced performance.

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Privacy preserving data sharing method for social media platforms

Cited by 7 publications

References 44 publications

Reviewing advancements in privacy-enhancing technologies for big data analytics in an era of increased surveillance

Reviewing advancements in privacy-enhancing technologies for big data analytics in an era of increased surveillance

Visual Communication Design Method in Folk Art Based on Multimedia Data Transmission Technology

Secure and efficient online data sharing scheme using broadcast encryption with personalised message system

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