Hybrid Filtering and Probabilistic Techniques for Privacy-Preserving Community Detection in OSNs
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 41, Issue 5
Abstract
Online Social Networks (OSNs) face the major challenge of protecting participant's privacy, due to the high dimensionality and volume of the data. In real-time social networks, where hundreds of personal details of people are shared every day, there remains a significant threat to privacy. Privacy preservation is challenging for a community detection problem due to the high computational complexity and memory requirements, especially in larger real-world OSN graphs. Although weighted nodes provide better results, as they allow capturing the frequencies of the values, the privacy preservation of sensitive attributes such as specific profiles becomes harder compared to these models. This problem can result in queries and subsequent learnings from social network profiles of specific individuals, which may be of personal, political or otherwise concern. Online social networks (OSNs) grapple with significant privacy challenges due to the extensive dimensions and vast quantities of data involved. This research fills the void in current privacy-preserving community detection methodologies, which face problems in computational complexity and memory usage in large-scale OSNs. The proposed framework seeks to bolster privacy preservation through a comprehensive multi-step process. Data filtering uses a blended data filter system to remove outliers and irrelevant data, thus enhancing the quality of the input data. Density-Oriented Clustering phase employs a density-oriented clustering model to identify communities, with each cluster representing a distinct community. Privacy Preservation component introduces a new privacy preservation technique for sensitive OSN attributes, surpassing existing k-anonymization methods. The developed density-based social network community detection model and its novel privacy-preserving scheme are evaluated using the datasets Yelp, Football, Zachary and Dolphin from the SNAP dataset. Experimental results on these datasets embed a comprehensive evaluation based on the order of each node and the graph-based networks, where each node is laden with weights as proximity values, indicating the semantic proximity between communities and individuals. The proposed framework employs the normalized mutual information (NMI), modularity (Q), Rand index and runtime measurements to demonstrate widespread advantages in the multi-dimensional functional space, including greater accuracy, cluster compatibility, and computational tractability over the existing prominent traditional models for OSNs.
Authors and Affiliations
Shamila M, G. Rekha, K. Vinuthna Reddy
Keywords
Related Articles
- EP ID EP741638
- DOI 10.52756/ijerr.2024.v41spl.015
- Views 41
- Downloads 0
TLBO-trained ANN-based Shunt Active Power Filter for Mitigation of Current Harmonics
The increased utilization of nonlinear devices is resulting in damage to power distribution infrastructure by introducing harmonics into power system networks, which in turn causes distortion in voltage and current signa...
Disharmoy between man-environment relationship: A serious threat to the Sundarban's wild nature
The Sundarban ecosystem is a unique natural wonder of the World & carries a great ecological significance. It has a rich biological diversity of aquatic & terrestrial flora & fauna & the mangrove forests, Sundarban’s hig...
Experimental Analysis of Dynamic Vibrations in Rails by Using Different Types of Vibration Absorption Pads
Railway pads are a type of component that is used in railway construction and maintenance. They are typically made of rubber or similar material and are placed between the railway sleeper and the rail itself. Railway pad...
Secondary Metabolite Fingerprinting and Antioxidant Potency of Eleusine indica: An Integrated Chromatography and In silico Investigation
Natural regimens and constituents serve as the primary sources for drug conservation, and each herbal regimen possesses unique ethnomedicinal and biological properties. Therefore, researchers are currently more intereste...
Studies on ecological non-heterocrystous nitrogen fixing filamentous Cyanoprocaryota of specific Gangetic zone in West Bengal
In the present communication, the studies on ecological diversity of non heterocystous nitrogen fixing filamentous Cyanoprocaryorota (BGA) in different rice growing and other fields of specific Gangetic zone in West Beng...