Multi-mode Network Analysis under Differential Privacy

نویسندگان

چکیده

Abstract With the advent of big data era and advancement social network analysis, public is increasingly concerned about privacy protection in today’s complex networks. For past few years, rapid development differential (DP) technology, as a method with reliable theoretical basis, can effectively solve key problem how to “disassociate” personal information This paper focuses on multi-mode heterogeneous model which has attracted lot attention field research. It introduces its application networks briefly first, then proposes centrality-analysis based DP typical network, i.e. network. The calculation principle applicable scenarios are discussed. Then, utility analyzed evaluated through experimental simulation. Possible improvement algorithm above prospected end.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Network Structure Release under Differential Privacy

The problem of private publication of graph data has attracted a lot of attention recently. The prevalence of differential privacy makes the problem more promising. However, the problem is very challenging because of the huge output space of noisy graphs, up to 2. In addition, a large body of existing schemes on differentially private release of graphs are not consistent with increasing privacy...

متن کامل

Functional Mechanism: Regression Analysis under Differential Privacy

ε-differential privacy is the state-of-the-art model for releasing sensitive information while protecting privacy. Numerous methods have been proposed to enforce ε-differential privacy in various analytical tasks, e.g., regression analysis. Existing solutions for regression analysis, however, are either limited to non-standard types of regression or unable to produce accurate regression results...

متن کامل

Differential Privacy Under Fire

Anonymizing private data before release is not enough to reliably protect privacy, as Netflix and AOL have learned to their cost. Recent research on differential privacy opens a way to obtain robust, provable privacy guarantees, and systems like PINQ and Airavat now offer convenient frameworks for processing arbitrary userspecified queries in a differentially private way. However, these systems...

متن کامل

Green Supply Chain Network Design under Multi-mode Production and Uncertainty

A multi-periodic, multi-echelon green supply chain network consisting of manufacturing plants, potential distribution centers, and customers is developed. The manufacturing plants can provide the products in three modes including production in regular time, production in over time, or by subcontracting. The problem has three objectives including minimization of the total costs of the green supp...

متن کامل

Bayesian inference under differential privacy

Bayesian inference is an important technique throughout statistics. The essence of Beyesian inference is to derive the posterior belief updated from prior belief by the learned information, which is a set of differentially private answers under differential privacy. Although Bayesian inference can be used in a variety of applications, it becomes theoretically hard to solve when the number of di...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Physics: Conference Series

سال: 2021

ISSN: ['1742-6588', '1742-6596']

DOI: https://doi.org/10.1088/1742-6596/2082/1/012010