A Multi-layer Security Model for 5G-enabled Industrial Internet of Things

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This article considers the need for secure communications between Industrial Internet of Things (IIoT) devices that operate in 5G-enabled environments. 5G networks enable greater data throughput and lower latency, which presents new opportunities for the secure authentication of business transactions between IoT hardware. We propose an approach to developing a flexible and secure model for IIoT components in 5G environments. Using the NIST seven layer model of cloud computing, in conjunction with Physically Unclonable Function (PUF) hardware provided via FPGAs, we demonstrate algorithms that replicate common authorisation challenges in 5G enabled IoT scenarios.
LanguageEnglish
Title of host publication7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019
PublisherSpringer International Publishing AG
Number of pages14
Publication statusAccepted/In press - 17 Aug 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

Fingerprint

Hardware
Cloud computing
Authentication
Field programmable gate arrays (FPGA)
Throughput
Internet of things
Industry
Secure communication

Cite this

Hill, G., Al-Aqrabi, H., Pulikkakudi Johnson, A., Lane, P., & Liu, L. (Accepted/In press). A Multi-layer Security Model for 5G-enabled Industrial Internet of Things. In 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019 (Lecture Notes in Computer Science). Springer International Publishing AG.
Hill, Graham ; Al-Aqrabi, Hussain ; Pulikkakudi Johnson, Anju ; Lane, Philip ; Liu, Lu. / A Multi-layer Security Model for 5G-enabled Industrial Internet of Things. 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer International Publishing AG, 2019. (Lecture Notes in Computer Science).
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title = "A Multi-layer Security Model for 5G-enabled Industrial Internet of Things",
abstract = "This article considers the need for secure communications between Industrial Internet of Things (IIoT) devices that operate in 5G-enabled environments. 5G networks enable greater data throughput and lower latency, which presents new opportunities for the secure authentication of business transactions between IoT hardware. We propose an approach to developing a flexible and secure model for IIoT components in 5G environments. Using the NIST seven layer model of cloud computing, in conjunction with Physically Unclonable Function (PUF) hardware provided via FPGAs, we demonstrate algorithms that replicate common authorisation challenges in 5G enabled IoT scenarios.",
keywords = "Internet of Things, 5G, Security, Physical Unclonable Functions, Analytics",
author = "Graham Hill and Hussain Al-Aqrabi and {Pulikkakudi Johnson}, Anju and Philip Lane and Lu Liu",
year = "2019",
month = "8",
day = "17",
language = "English",
series = "Lecture Notes in Computer Science",
publisher = "Springer International Publishing AG",
booktitle = "7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019",
address = "Switzerland",

}

Hill, G, Al-Aqrabi, H, Pulikkakudi Johnson, A, Lane, P & Liu, L 2019, A Multi-layer Security Model for 5G-enabled Industrial Internet of Things. in 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Lecture Notes in Computer Science, Springer International Publishing AG.

A Multi-layer Security Model for 5G-enabled Industrial Internet of Things. / Hill, Graham; Al-Aqrabi, Hussain; Pulikkakudi Johnson, Anju; Lane, Philip; Liu, Lu.

7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer International Publishing AG, 2019. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Multi-layer Security Model for 5G-enabled Industrial Internet of Things

AU - Hill, Graham

AU - Al-Aqrabi, Hussain

AU - Pulikkakudi Johnson, Anju

AU - Lane, Philip

AU - Liu, Lu

PY - 2019/8/17

Y1 - 2019/8/17

N2 - This article considers the need for secure communications between Industrial Internet of Things (IIoT) devices that operate in 5G-enabled environments. 5G networks enable greater data throughput and lower latency, which presents new opportunities for the secure authentication of business transactions between IoT hardware. We propose an approach to developing a flexible and secure model for IIoT components in 5G environments. Using the NIST seven layer model of cloud computing, in conjunction with Physically Unclonable Function (PUF) hardware provided via FPGAs, we demonstrate algorithms that replicate common authorisation challenges in 5G enabled IoT scenarios.

AB - This article considers the need for secure communications between Industrial Internet of Things (IIoT) devices that operate in 5G-enabled environments. 5G networks enable greater data throughput and lower latency, which presents new opportunities for the secure authentication of business transactions between IoT hardware. We propose an approach to developing a flexible and secure model for IIoT components in 5G environments. Using the NIST seven layer model of cloud computing, in conjunction with Physically Unclonable Function (PUF) hardware provided via FPGAs, we demonstrate algorithms that replicate common authorisation challenges in 5G enabled IoT scenarios.

KW - Internet of Things

KW - 5G

KW - Security

KW - Physical Unclonable Functions

KW - Analytics

M3 - Conference contribution

T3 - Lecture Notes in Computer Science

BT - 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019

PB - Springer International Publishing AG

ER -

Hill G, Al-Aqrabi H, Pulikkakudi Johnson A, Lane P, Liu L. A Multi-layer Security Model for 5G-enabled Industrial Internet of Things. In 7th International Conference on Smart City and Informatization (iSCI 2019), Guangzhou, China, November 12-15, 2019. Springer International Publishing AG. 2019. (Lecture Notes in Computer Science).