Advertisement

Secure Networked Inference with Unreliable Data Sources

  • Aditya Vempaty
  • Bhavya Kailkhura
  • Pramod K. Varshney

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 1-6
  3. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 7-16
  4. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 17-74
  5. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 75-135
  6. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 137-150
  7. Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
    Pages 151-184
  8. Back Matter
    Pages 185-208

About this book

Introduction

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 particular, it addresses inference (or learning) processes such as detection, estimation or classification, and parallel, hierarchical, and fully decentralized (peer-to-peer) system architectures. Furthermore, it discusses a number of new directions and heuristics to tackle the problem of design complexity in these practical network architectures for inference.

Keywords

Data fusion Data falsification Distributed learning Distributed inference Byzantines Wireless networks Wireless sensor networks Distributed detection Distributed estimation Network security information fusion

Authors and affiliations

  • Aditya Vempaty
    • 1
  • Bhavya Kailkhura
    • 2
  • Pramod K. Varshney
    • 3
  1. 1.IBM Research—Thomas J. Watson ResearchYorktown HeightsUSA
  2. 2.Department of Computing Applications and ResearchLawrence Livermore National LaboratoryLivermoreUSA
  3. 3.Department of Electrical Engineering and Computer ScienceSyracuse UniversitySyracuseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-2312-6
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-2311-9
  • Online ISBN 978-981-13-2312-6
  • Buy this book on publisher's site