The Internet of Things: Secure Distributed Inference

June 24, 2018 Β· Declared Dead Β· πŸ› IEEE Signal Processing Magazine

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Authors Yuan Chen, Soummya Kar, JosΓ© M. F. Moura arXiv ID 1806.09199 Category cs.DC: Distributed Computing Cross-listed cs.CR Citations 64 Venue IEEE Signal Processing Magazine Last Checked 5 months ago
Abstract
The growth in the number of devices connected to the Internet of Things (IoT) poses major challenges in security. The integrity and trustworthiness of data and data analytics are increasingly important concerns in IoT applications. These are compounded by the highly distributed nature of IoT devices, making it infeasible to prevent attacks and intrusions on all data sources. Adversaries may hijack devices and compromise their data. As a result, reactive countermeasures, such as intrusion detection and resilient analytics, become vital components of security. This paper overviews algorithms for secure distributed inference in IoT.
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