Secure Networked Inference with Unreliable Data Sources

Nonfiction, Computers, Networking & Communications, Hardware, Computer Security, General Computing
Cover of the book Secure Networked Inference with Unreliable Data Sources by Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney, Springer Singapore
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Author: Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney ISBN: 9789811323126
Publisher: Springer Singapore Publication: August 30, 2018
Imprint: Springer Language: English
Author: Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
ISBN: 9789811323126
Publisher: Springer Singapore
Publication: August 30, 2018
Imprint: Springer
Language: English

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.

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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.

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