A differentially-private mechanism for multi-level data publishing by Wen-jing ZHANG, Hui LI

“…Privacy preserving technology had addressed the problem of privacy leakage during data publishing proc-ess,however,current data publishing technologies mostly focused on publishing privacy preserving data with single level,without considering some scenarios of multi-level users.Therefore,a differentially-private mechanism for multi-level data publishing was proposed.The proposed mechanism employed the Laplace mechanism with different privacy budgets to output results with different privacy protection levels.After the user’s level was determined ac-cording to the charge or privilege of that specific user,the goal that a user with high(low) level can only use the out-put result with low(high) privacy protection level which had low(high) error rate could be achieved.Finally,the evaluation results and security analysis show that our proposed framework can not only prevent from background knowledge attack,but also achieve multi-level data publishing with different error rates effectively .…”
Get full text

Ethereum Blockchain Interconnectivity for Dynamic and Privacy-Preserving Access Control by Christian Delgado-von-Eitzen, Manuel Jose Fernandez-Iglesias, Luis Anido-Rifon, Martin Llamas-Nistal

Get full text

What we do with data: a performative critique of data 'collection' by Garfield Benjamin

“…How do terms and practices relate in defining the norms of data in society? This article undertakes a critique of data collection using data feminism and a performative theory of privacy: as a resource, an objective discovery and an assumption. …”
Get full text

A comprehensive survey on big data privacy and Hadoop security: Insights into encryption mechanisms and emerging trends by Youness Filaly, Nisrine Berros, Fatna El mendili, Younes El Bouzekri EL idrissi

“…We find weaknesses in existing techniques via a comparative study and provide a hybrid encryption system aimed at secure and efficient data processing in Hadoop settings. Researchers and practitioners searching for scalable, privacy-preserving big data platform solutions should use this paper as a reference.…”
Get full text

A hybrid encryption algorithm based approach for secure privacy protection of big data in hospitals by Wei Li, Qian Huang

“…Aiming at the hidden danger of information security caused by the lack of medical big data information security firewall, this paper proposes a security privacy protection method for hospital big data based on hybrid encryption algorithm. …”
Get full text

When Poor-Quality Data Meet Anonymization Models: Threats and Countermeasures by Abdul Majeed, Seong Oun Hwang

“…For example, skewed data may lead to imbalanced learning when used in machine learning (ML) classifiers. …”
Get full text

Navigating the privacy paradox in a digital age: balancing innovation, data collection and ethical responsibility by Martin Jones

“…Purpose – The purpose of this paper is to explore the intersection of generative artificial intelligence (AI), data collection and consumer privacy, highlighting ethical tensions in AI-driven advertising. …”
Get full text

Mamba-fusion for privacy-preserving disease prediction by Muhammad Kashif Jabbar, Huang Jianjun, Ayesha Jabbar, Anas Bilal

“…Experimental results on multi-modal clinical measurements, ECG, EEG, clinical notes, and demographic data support the applied framework. We have then used Mamba-Fusion to achieve 92:4% accuracy, 0:91 F-Score, and 0:96 AUC-ROC by keeping the privacy leakage at 0:02 and communication costs to 12:5 MB, which make it superior to conventional FL techniques. …”
Get full text

CRYPTOGRAPHIC KEY IMPROVED PRIVACY UNDER THE CONDITIONS OF SOME OF CRYPTOGRAPHIC KEY VALUE DATA LEAK by U. F. Holikau, V. L. Pivovarov

“…The article outlines the possibility of increasing the privacy of cryptographic key generated in the conditions of data leakage of some of its values. …”
Get full text

IoT medical device risks: Data security, privacy, confidentiality and compliance with HIPAA and COBIT 2019 by Na-ella Khan, Riaan J. Rudman

“…Purpose: This study aimed to develop a comprehensive framework to enable the identification of risks pertaining to data security, privacy and confidentiality when using medical Internet of Things (IoT) devices. …”
Get full text

Privacy Protection Based Secure Data Transaction Protocol for Smart Sensor Meter in Smart Grid by Woong Go, SeulKi Choi, Jin Kwak

“…They could then burgle the house. We propose a privacy-enhanced secure data transaction protocol that can protect private data by encrypting them. …”
Get full text

Going global: Comparing Chinese mobile applications’ data and user privacy governance at home and abroad by Lianrui Jia, Lotus Ruan

“…Lastly, we conducted content analysis of the terms of service and privacy policies to establish the app’s data collection, storage, transfer, use, and disclosure measures. …”
Get full text

Sharing extended summary data from contemporary genetics studies is unlikely to threaten subject privacy. by Silviu-Alin Bacanu

Get full text

ChatAnalysis revisited: can ChatGPT undermine privacy in smart homes with data analysis? by Jüttner Victor, Fleig Arthur, Buchmann Erik

“…While empowering users, this raises critical privacy concerns when used to analyze data from personal spaces, such as smart-home environments. …”
Get full text

Metric and classification model for privacy data based on Shannon information entropy and BP neural network by Yihan YU, Yu FU, Xiaoping WU

“…The trained BP neural network was used to output the classification result of privacy data without pre-determining the metric weight. …”
Get full text

Metric and classification model for privacy data based on Shannon information entropy and BP neural network by Yihan YU, Yu FU, Xiaoping WU

“…The trained BP neural network was used to output the classification result of privacy data without pre-determining the metric weight. …”
Get full text

Airbnb in New York City: whose privacy rights are threatened by a Government Data grab? by T. Hofmann

“…Using Local Law 146 as a lens, this Note examines the privacy issues implicated by data- collection laws and discusses which parties can assert these privacy rights, particularly given recent changes in third-party doctrine jurisprudence. …”
Get full text

Medical data privacy protection based on blockchain asymmetric encryption algorithm and generative adversarial network by Yuanyuan Gao, Jin-whan Kim

“…In the blockchain environment, asymmetric encryption algorithms are used to generate private keys and public keys to encrypt user privacy data. …”
Get full text

Multi-function supported privacy protection data aggregation scheme for V2G network by Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI

“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
Get full text

Multi-function supported privacy protection data aggregation scheme for V2G network by Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI

“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
Get full text