An improved ensemble classification-based secure two stage bagging pruning technique for guaranteeing privacy preservation of DNA sequences in electronic health …

P Kaladevi, S Janakiraman… - Journal of Intelligent …, 2023 - content.iospress.com
The advent of machine learning in the recent decade has excelled in determining new
potential features and non-linear relationships existing between the data derived from the …

Hiding sensitive information in eHealth datasets

JMT Wu, G Srivastava, A Jolfaei… - Future Generation …, 2021 - Elsevier
Privacy in the realm of data mining known as PPDM has become a hot topic in both
academic research and industry due to the fact it can discover implicit rules as well as hide …

k-DDD measure and mapreduce based anonymity model for secured privacy-preserving big data publishing

S Madan, P Goswami - International Journal of Uncertainty …, 2019 - World Scientific
Nowadays, big data publishing is the emerging trend since they have good potential for the
decision support in the applications, such as a hospital, government, industries, etc. Existing …

Electronic medical records privacy preservation through k-anonymity clustering method

M Shin, S Yoo, KH Lee, D Lee - The 6th International …, 2012 - ieeexplore.ieee.org
Electronic Medical Records (EMRs) enable the sharing of patient medical data whenever it
is needed and also are used as a tool for building new medical technology and patient …

Deep Learning‐Based Privacy‐Preserving Data Transmission Scheme for Clustered IIoT Environment

K Lakshmanna, R Kavitha, BT Geetha… - Computational …, 2022 - Wiley Online Library
The Industrial Internet of Things (IIoT) has received significant attention from several leading
industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part …

Robust and lossless data privacy preservation: optimal key based data sanitization

GK Shailaja, CVG Rao - Evolutionary Intelligence, 2022 - Springer
Privacy-preserving data mining (PPDM) is the most significant approach on data security, in
which more research work is under progress. This paper intends to propose a new PPDM …

[Retracted] Privacy Protection Technology Based on Machine Learning and Intelligent Data Recognition

Q Liu - Security and Communication Networks, 2022 - Wiley Online Library
The machine learning algorithm is gradually being applied to various fields and has become
the core technology to achieve artificial intelligence. The success of machine learning …

Differential and triphase adaptive learning-based privacy-preserving model for medical data in cloud environment

R Gupta, D Saxena, I Gupta… - IEEE Networking …, 2022 - ieeexplore.ieee.org
This letter proposes a novel secure data protection model for privacy preservation in the
cloud environment by partitioning, sanitizing, and analyzing the data effectively to improve …

Data mining: min–max normalization based data perturbation technique for privacy preservation

A Kiran, D Vasumathi - Proceedings of the third international conference …, 2020 - Springer
Data mining system deals with huge volume of information which may include personal and
sensitive information about the individuals such as bank credential details, financial records …

Differential privacy medical data publishing method based on attribute correlation

S Zhang, X Li - Scientific Reports, 2022 - nature.com
The advent of the era of big data promotes the further development of medicine, and data
release is an important step in it. The existing medical data release methods mostly use the …