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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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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Edition: | 1st ed. 2018. |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
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.