Results 21 to 30 of about 22,079 (262)

Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning

IEEE Access, 2023
Personal data have been increasingly used in data-driven applications to improve quality of life. However, privacy preservation of personal data while sharing it with analysts/ researchers has become an essential requirement to be met by data owners ...
Abdul Majeed, Seong Oun Hwang
doaj   +1 more source

Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations

Mathematics, 2022
Due to privacy concerns, multi-party gradient tree boosting algorithms have become widely popular amongst machine learning researchers and practitioners.
Kennedy Edemacu, Jong Wook Kim
doaj   +1 more source

RiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in Wireless Sensor Networks

Sensors, 2017
Recently, data privacy in wireless sensor networks (WSNs) has been paid increased attention. The characteristics of WSNs determine that users’ queries are mainly aggregation queries.
Kejia Zhang, Qilong Han, Zhipeng Cai, Guisheng Yin   +3 more
doaj   +1 more source

Joining Federated Learning to Blockchain for Digital Forensics in IoT

Computers, 2023
In present times, the Internet of Things (IoT) is becoming the new era in technology by including smart devices in every aspect of our lives. Smart devices in IoT environments are increasing and storing large amounts of sensitive data, which attracts a ...
Wejdan Almutairi, Tarek Moulahi
doaj   +1 more source

Privacy preservation techniques in big data analytics: a survey

Journal of Big Data, 2018
Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology.
P. Ram Mohan Rao, S. Murali Krishna, A. P. Siva Kumar   +2 more
doaj   +1 more source

Privacy Preserving Clustering [PDF]

, 2005
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together. Clustering has many applications, such as customerbehavior analysis, targeted marketing, forensics, and bioinformatics. In this paper, we present the design and analysis of a
Somesh Jha, Louis Kruger, Patrick D. McDaniel   +2 more
openaire   +1 more source

Crowdsourced federated learning architecture with personalized privacy preservation

Intelligent and Converged Networks
In crowdsourced federated learning, differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy preservation.
Yunfan Xu, Xuesong Qiu, Fan Zhang, Jiakai Hao   +3 more
doaj   +1 more source

Privacy Preserving Data Mining [PDF]

Journal of Cryptology, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yehuda Lindell, Benny Pinkas
openaire   +2 more sources

Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets

Computers
Determining how to balance data utilities and data privacy when datasets are released to be utilized outside the scope of data-collecting organizations constitutes a major challenge.
Surapon Riyana
doaj   +1 more source

Privacy-Preserving Electric Vehicle Charging Recommendation by Incorporating Full Homomorphic Encryption and Secure Multi-Party Computing

World Electric Vehicle Journal
Electric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage.
Yiqi Liu, Jiaxin Ju, Zhiyi Li
doaj   +1 more source