Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications

As more Internet of Things (IoT) devices are being used, more sensitive data and services are also being hosted by, or accessed via, IoT devices. This leads to a need for a stronger authentication solution for the IoT context, and a stronger authentication solution tends to be based on several authentication factors. Existing multi-factor authentication solutions are mostly used for user-to-system identity verification scenarios, whereas, in the IoT context, there are device-to-device communication scenarios. Therefore, more work is necessary to investigate how to facilitate multi-factor authentication for device-to-device interactions. As part of our ongoing work on the design of the M2I (Multi-factor Multilevel and Interaction-based) framework to facilitate multi-factor authentication in IoT, this paper reports an extension to an authentication framework published previously that supports the multi-factor authentication of devices in device-to-device and device-to-multidevice interactions. In this extended framework, four authentication protocols are added to facilitate multi-factor group authentication between IoT devices. Analysis results show that the protocols satisfy the specified security requirements and are resilient against authentication-related attacks. The communication and computation overheads of the protocols are also analyzed and compared with those of IoT group authentication solutions and Kerberos. The results show that the symmetric-key-based version of the proposed protocols cut the communication and computational costs, respectively, by 70∼74% and 89∼92% in comparison with those of Kerberos.

Authors

Institutions

Publication Details

Journal
Cryptography
Published
2025-05-28
DOI
https://doi.org/10.3390/cryptography9020035
Citations
1
Primary Topic
Advanced Authentication Protocols Security
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications

Salem AlJanah, Siok Wah Tay, Ning Zhang
1 citations
Cryptography
Advanced Authentication Protocols Security
1.49
article

Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications

Salem AlJanah, Siok Wah Tay, Ning Zhang
article en
1 citations

Abstract

As more Internet of Things (IoT) devices are being used, more sensitive data and services are also being hosted by, or accessed via, IoT devices. This leads to a need for a stronger authentication solution for the IoT context, and a stronger authentication solution tends to be based on several authentication factors. Existing multi-factor authentication solutions are mostly used for user-to-system identity verification scenarios, whereas, in the IoT context, there are device-to-device communication scenarios. Therefore, more work is necessary to investigate how to facilitate multi-factor authentication for device-to-device interactions. As part of our ongoing work on the design of the M2I (Multi-factor Multilevel and Interaction-based) framework to facilitate multi-factor authentication in IoT, this paper reports an extension to an authentication framework published previously that supports the multi-factor authentication of devices in device-to-device and device-to-multidevice interactions. In this extended framework, four authentication protocols are added to facilitate multi-factor group authentication between IoT devices. Analysis results show that the protocols satisfy the specified security requirements and are resilient against authentication-related attacks. The communication and computation overheads of the protocols are also analyzed and compared with those of IoT group authentication solutions and Kerberos. The results show that the symmetric-key-based version of the proposed protocols cut the communication and computational costs, respectively, by 70∼74% and 89∼92% in comparison with those of Kerberos.

CryptographyVol. 9(2)
Multimedia University (MY), Imam Mohammad ibn Saud Islamic University (SA), University of Manchester (GB)
Openalex Percentile: Top 17%
Advanced Authentication Protocols Security
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications — Salem AlJanah, Siok Wah Tay, et al. · Cryptography (2025) | TGRS Research Map | TGRS