Network Security Issues in The Internet of Things (IoT)

Stuart Millar

Network Security Issues in The Internet of Things (IoT)

Stuart Millar

School of Electronics, Electrical Engineering and Computer Science

Research output: Book/Report › Other report

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Abstract

This paper surveys a broad range of other research works in order to discuss network security issues in the Internet of Things (IoT). We begin with setting the scene generally with an outline of IoT, followed by a discussion of IoT layer models and topologies. After this, IoT standardization efforts and protocols are analysed, before we discuss in depth vulnerabilities, attacks and mitigations with regard IoT. It is concluded that ample research and narrative exists for protocols and vulnerabilities but less on mitigations, particularly with regard Intrusion Detection Systems (IDS) for IoT, and resource constraints on devices are a considerable obstacle in strengthening security.

Original language	English
Publisher	Queen's University Belfast
Number of pages	6
Publication status	Unpublished - 2016

Keywords

counter-measures
IoT
mesh networks
NETWORKS
mitigations
network security
Security
Sensors
vulnerabilities

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture

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Network Security Issues in The Internet of Things (IoT)
Copyright 2016 The Author All rights reserved. If you wish to use this work in any form please email [email protected]
Final published version, 475 KBLicence: Unspecified

Multi-view convolutional neural networks for cybersecurity applications
Millar, S. (Author), Martinez del Rincon, J. (Supervisor) & Miller, P. (Supervisor), Jul 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy

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KW - counter-measures

KW - IoT

KW - mesh networks

KW - NETWORKS

KW - mitigations

KW - network security

KW - Security

KW - Sensors

KW - vulnerabilities

M3 - Other report

BT - Network Security Issues in The Internet of Things (IoT)

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Network Security Issues in The Internet of Things (IoT)

Abstract

Keywords

ASJC Scopus subject areas

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Student theses

Multi-view convolutional neural networks for cybersecurity applications

Cite this