Optimal Byzantine attack for distributed inference with M-ary quantized data

Po-Ning Chen, Yunghsiang S. Han, Hsuan Yin Lin, Pramod K. Varshney

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

In many applications that employ wireless sensor networks (WSNs), robustness of distributed inference against Byzantine attacks is important. In this work, distributed inference is considered when local sensors send M-ary data to the fusion center. The optimal Byzantine attack policy is then derived under the assumption that the Byzantine adversary has the knowledge of the statistics of local quantization outputs. Our analysis indicates that the fusion center can be blinded such that the detection error is as poor as a random guess when an adequate fraction of sensors are compromised.

原文English
主出版物標題Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2474-2478
頁數5
ISBN(電子)9781509018062
DOIs
出版狀態Published - 10 八月 2016
事件2016 IEEE International Symposium on Information Theory, ISIT 2016 - Barcelona, Spain
持續時間: 10 七月 201615 七月 2016

出版系列

名字IEEE International Symposium on Information Theory - Proceedings
2016-August
ISSN(列印)2157-8095

Conference

Conference2016 IEEE International Symposium on Information Theory, ISIT 2016
國家Spain
城市Barcelona
期間10/07/1615/07/16

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