Securing the Data Using an Efficient Machine Learning Technique
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 40, Issue 4
Abstract
More accessible data and the rise of advanced data analysis contribute to using complex models in decision-making across various fields. Nevertheless, protecting people’s privacy is vital. Medical predictions often employ decision trees due to their simplicity; however, they may also be a source of privacy violations. We will apply differential privacy to this end, a mathematical framework that adds random values to the data to provide secure confidentiality while maintaining accuracy. Our novel method Dual Noise Integrated Privacy Preservation (DNIPP) focuses on building decision forests to achieve privacy. DNIPP provides more protection against breaches in deep sections of the tree, thereby reducing noise in final predictions. We combine multiple trees into one forest using a method that considers each tree’s accuracy. Furthermore, we expedite this procedure by employing an iterative approach. Experiments demonstrate that DNIPP outperforms other approaches on real datasets. This means that DNIPP offers a promising approach to reconciling accuracy and privacy during sensitive tasks. In DNIPP, the strategic allocation of privacy budgets provides a beneficial compromise between privacy and utility. DNIPP protects privacy by prioritizing privacy concerns at lower, more vulnerable nodes, resulting in accurate and private decision forests. Furthermore, the selective aggregation technique guarantees the privacy of a forest by combining multiple data points. DNIPP provides a robust structure for decision-making in delicate situations, ensuring the model's effectiveness while safeguarding personal privacy.
Authors and Affiliations
Pinkal Jain, Vikas Thada
Keywords
Related Articles
- EP ID EP739938
- DOI 10.52756/ijerr.2024.v40spl.018
- Views 74
- Downloads 1
Exploring the Dynamic Nexus between Industrialization, Environmental Pollution and Health Expenditure in Bangladesh: A VECM Approach
Industrialization boosts economic growth but causes pollution, harming public health and raising healthcare costs. Inflation compounds this challenge, as rising prices make healthcare services, both preventive and curati...
Iron fortificants wheat flour and iron bioavailability on rats
Wheat flour fortification with iron has long been recognized as an effective tool in the global problem against iron deficiency anemia. Fe absorption in rats and humans are similar thus the use of rat in this experiment...
Systemic Regulatory Abnormalities in Glycemic Control and its Relation with Depression - A Cross-Sectional Study
Globally, depression is the 3rd leading cause of disability-adjusted life years. The presence of depression and its symptoms has been associated with improper control of glucose and poor glycemic index and a bidirection...
Energetics and Economics of Rabi Maize as Influenced by Smart Nutrient Management Under South Odisha Conditions
Cereal crop cultivation is one of the essential agricultural practices adopted worldwide to feed human beings, providing dietary energy and food security. Maize is important in different cereal crops' areas, production,...
Diversity of Endophytic fungi in liana, Celastrus paniculatus collected from few sites of Jhargram and Paschim Medinipur districts, West Bengal, India
To determine the identity and diversity of endophytic fungi associated with the liana from five different forest localities of Jhargram and West Medinipur districts of West Bengal. On the basis of differentiation of weat...