The Internet of Things Secure distributed inference

被引：51
|
作者：
Chen, Yuan [1 ]
Kar, Soummya [1 ]
Moura, Jose M. F. [2 ,3 ,4 ,5 ,6 ]
机构：
[1] Carnegie Mellon Univ, Elect & Comp Engn, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[3] Amer Assoc Advancement Sci, Washington, DC USA
[4] US Natl Acad Inventors, Tampa, FL USA
[5] US Natl Acad Engn, Washington, DC USA
[6] Acad Sci Portugal, Lisbon, Portugal
来源：
IEEE SIGNAL PROCESSING MAGAZINE | 2018年 / 35卷 / 05期
关键词：
OPTIMIZATION; STRATEGIES; STATE;
D O I：
10.1109/MSP.2018.2842097
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：64 / 75
页数：12
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