Aggregate Authentication for Massive Internet of Things in 5G Networks

Amril Syalim, Bayu Anggorojati, Joonsang Baek, Daniel Gerbi, Ilsun You

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Massive Internet of Things (IoT) applications are characterized by a massive number of low-powered devices with small data storage. In those applications, authentication is very important to guarantee the origin of data produced by each device. With such characteristics, the authentication scheme needs to have small footprint and low complexity computation. Likewise, the number of authentication signaling needs to be significantly reduced to accommodate massive amount of IoT devices trying to connect to the network simultaneously, which is similar to Denial of Service (DoS) attacks. In 3GPP TR 33.899 V1.3.0, an architecture of the authentication system that consists of the aggregation nodes and the authenticators is proposed. The aggregation nodes receive the authenticated data from the devices and send the aggregated authenticated data to the authenticators. In this article, we discuss the possibility to implement more efficient authentication scheme for a massive Internet of Things (IoT) applications enabled in 5G networks. In particular, we analyze the performance of the system using some signature aggregation methods and identify the main research challenges in this area.

Original languageEnglish
Title of host publicationMobile Internet Security - 4th International Symposium, MobiSec 2019, Revised Selected Papers
EditorsIlsun You, Hsing-Chung Chen, Fang-Yie Leu, Igor Kotenko
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-12
Number of pages10
ISBN (Print)9789811596087
DOIs
Publication statusPublished - 2020
Event4th International Symposium on Mobile Internet Security, MobiSec 2019 - Taichung, Taiwan, Province of China
Duration: 17 Oct 201919 Oct 2019

Publication series

NameCommunications in Computer and Information Science
Volume1121
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Symposium on Mobile Internet Security, MobiSec 2019
Country/TerritoryTaiwan, Province of China
CityTaichung
Period17/10/1919/10/19

Keywords

  • 5G security
  • Aggregate signature
  • Group authentication
  • Massive IoT

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