Secure Networked Inference with Unreliable Data Sources
The book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs robust strategies to ensure reliable performance for several practical network architectures. In pa...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Singapore
Springer Nature Singapore
2018, 2018
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Edition: | 1st ed. 2018 |
Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1 Introduction
- Chapter 2 Conventional Inference theories
- Chapter 3 Distributed Detection in Networks
- Chapter 4 Distributed Estimation and Target Localization
- Chapter 5 Distributed Classification and Target Tracking
- Chapter 6 New Research Directions Discussion and conclusions