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  5. Towards an emulated IoT test environment for anomaly detection using NEMU
 
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Towards an emulated IoT test environment for anomaly detection using NEMU

Author(s)
Brady, Shane  
Hava, Adriana  
Perry, Philip  
Murphy, John  
Magoni, Damien  
Portillo Dominguez, Andres Omar  
Uri
http://hdl.handle.net/10197/9051
Date Issued
2017-06-09
Date Available
2017-11-28T10:49:31Z
Abstract
The advent of the Internet of Things (IoT) has led to a major change in the way we interact with increasingly ubiquitous connected devices such as smart objects and cyber-physical systems. It has also led to an exponential increase in the number of such Internet-connected devices over the last few years. Conducting extensive functional and performance testing is critical to assess the robustness and efficiency of IoT systems in order to validate them before their deployment in real life. However, creating an IoT test environment is a difficult and expensive task, usually requiring a significant amount of physical hardware and human effort to build it. This paper proposes a method to emulate an IoT environment using the Network Emulator for Mobile Universes (NEMU), itself built on the popular QEMU system emulator, in order to construct a testbed of inter-connected, emulated Raspberry Pi devices. Additionally, we experimentally demonstrate how our method can be successfully applied to IoT by showing how such an emulated environment can be used to detect anomalies in an IoT system.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Agence Nationale de la Recherche ANR-10-IDEX-03-02
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2017 IEEE
Subjects

Internet of Things

Emulation

Testing

NEMU

DOI
10.1109/GIOTS.2017.8016222
Language
English
Status of Item
Peer reviewed
Journal
Proceedings of the Global Internet of Things Summit (GIoTS) 2017
Conference Details
Global Internet of Things Summit (GIoTS), Geneva, Switzerland, 6-9 June, 2017
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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brady-giots2017.pdf

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1.05 MB

Format

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Checksum (MD5)

5454b5e1023098547c322de7b50ea765

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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