Year: 2018
Type: article
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 article overviews algorithms for secure distributed inference in IoT.
Source: IEEE Signal Processing Magazine
Authors: Yuan Chen, Soummya Kar, Jose M.F. Moura
Institution: Carnegie Mellon University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2809788191