Privacy-Preserving Services for Social Networks: A Review Paper
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 4
Abstract
The popular and frequently used Online Social Networks (OSNs) all have a conceptually centralized design, in which a single organization holds unprecedented amounts of personal information in terms of amount, variety, geographical expansion, or degree of detail. With no need for a question, this is one of the most serious dangers to customers' privacy or right to secrecy. Since then, decentralization has been hailed as the solution for privacy concerns, particularly in the world of open-source networks (OSNs). A more in-depth examination of the problem, however, indicates that, if not properly conceived and executed, decentralization may have much more negative impacts on users' privacy than it may bring innovative answers. Furthermore, studies on Discrete Online Social Networks (DOSNs) have shown that there are additional hurdles to overcome to make them a reality, which necessitates additional attention and novel technological solutions. The difficulties of privacy-preserving among centralization or decentralization are discussed in this study, as well as an overview of current research on decentralized private information social network services.
Authors and Affiliations
Dushyant Singh
Keywords
Related Articles
- EP ID EP747788
- DOI 10.55524/ijircst.2020.8.4.22
- Views 36
- Downloads 0
Smart Health Care Implementation Using Naïve Bayes Algorithm
—Heart disease and diabetes are two most commonly found chronic disease that has become a mainstream health issue with the current lifestyle. It is essential to identify the symptoms and treat the disease at early stages...
Precision Agriculture Revolution: PALS Algorithm Unveiled
This study presents an algorithm for mobile node localization in wireless sensor networks, leveraging the Extended Kalman Filter (EKF). The algorithm demonstrates robustness in handling non-linear dynamics and adaptabili...
Analysis of Energy Harvesting Techniques and Uses for Microelectronics
Increasingly advanced equipment may now be smaller and use less power thanks to technological advancements. These deteriorate but also power ushers in new wearable technology paradigms, with a slew of embedded systems co...
A Review Article On Enhancing Email Spam Filter’s Accuracy Using Machine Learning
In today’s era, almost everyone is using emails on their daily basis. In our proposed research, we suggest a machine learning-based strategy for enhancing email spam filters' accuracy. Traditional rule-based filters have...
How do Different Load Cases Affect the Spinal Structures of a Well-balanced Lumbar Spine? A Multibody Simulation Analysis
[1] G. B. J. Andersson, “Epidemiological features of chronic low-back pain.” Lancet, vol. 354, 1999, pp. 581-585. [2] A. Rohlmann, T. Zander, M. Rao, G.Bergmann, “Applying a follower load delivers realistic results fo...