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  4. Rmind: A Tool for Cryptographically Secure Statistical Analysis - 2018
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Category: MTech Java Projects
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MTech Projects
28.Nov
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Rmind: A Tool for Cryptographically Secure Statistical Analysis - 2018

PROJECT TITLE :

Rmind: A Tool for Cryptographically Secure Statistical Analysis - 2018

ABSTRACT:

Secure multi-party computation is a practical cryptographic method for processing confidential information. Analysis progress has led to its use in privacy-preserving statistical analysis. Implementations of straightforward statistical analysis functions are printed, but no comprehensive tool has been designed. We have a tendency to describe and implement a collection of most used statistical analysis functions within the privacy-preserving setting together with simple statistics, t-test, chi-squared test, Wilcoxon tests and linear regression. We have a tendency to provide descriptions of the privacy-preserving algorithms and benchmark results that show an order of magnitude improvement over previous work.

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  • Secure Data Objects Replication in Data Grid - 2010
  • Learning Compact Binary Face Descriptor for Face Recognition - 2015
  • Differentially Private Data Publishing and Analysis - 2017
  • Risk Assessment in Social Networks Based on User Anomalous Behaviors - 2018
  • Uncertain Data Clustering in Distributed Peer-to-Peer Networks - 2017
  • Achieving Guaranteed Anonymity in GPS Traces via Uncertainty Aware Path Cloaking - 2010
  • VCAMS: Viterbi-Based Context Aware Mobile Sensing to Trade-Off Energy and Delay - 2018
  • Efficient Anonymous Message Submission - 2018
  • Power Efficiency and Delay Tradeoff of 10GBase-T Energy Efficient Ethernet Protocol - 2017
  • A Dual Framework And Algorithms For Targeted Online Data Delivery - 2011
Previous article: CSC-Detector: A System to Infer Large-Scale Probing Campaigns - 2018 CSC-Detector: A System to Infer Large-Scale Probing Campaigns - 2018 Next article: Conditional (t,k) -Diagnosis in Regular and Irregular Graphs Under the Comparison Diagnosis Model - 2018 Conditional (t,k) -Diagnosis in Regular and Irregular Graphs Under the Comparison Diagnosis Model - 2018
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