Improving the Privacy in Wireless-Enabled 5G Networks: A Lightweight Protocol for IIoT Communications

The vision and major elements of the fifth generation (5G) ecosystem have previously been explored. We examine how security may impact the envisioned 5G wireless systems and the challenges and potential solutions to aid in these efforts and define the security and privacy aspects of 5G networks. 5G networks have provided solutions for quicker machine control, problem identification, performance analysis, and data access. Interaction between Internet of Things (IoT) nodes occur across an unsecured wireless channel, which has positive and negative effects. Despite being physically separated, unauthorized nodes could communicate via an unprotected wireless channel to gather data and take over industrial devices. Secure sessions can mitigate these risks, but it might be challenging to construct a secure session over a weak channel. To address this issue, the Variable Identification (VID) is used. VID offers a simple key exchange platform to authorized Industry Internet of Things (IIoT) nodes while guarding against unauthorized use. The lightweight changeable pseudonyms used by VID for trust-building are selected at random from a pool discovered in the home network and terminal devices. All IDs are chosen at random from a pool and are used to protect data against forgery, replay, alteration, impersonation, and man-in-the-middle attacks, among other things, between the home network and terminal equipment. The ProVerif tool is used to evaluate the suggested system, and the findings demonstrate that it is trustworthy and resistant to prospective attacks.

Authors

Institutions

Publication Details

Journal
Asian Journal of Electrical and Electronic Engineering.
Published
2024-09-27
DOI
https://doi.org/10.69955/ajoeee.24.v4i2.62
Citations
2
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the Privacy in Wireless-Enabled 5G Networks: A Lightweight Protocol for IIoT Communications

Mamoon M. Saeed, Rashid A. Saeed, Rania A. Mokhtar, Elmustafa Sayed Ali et al.
2 citations
Asian Journal of Electrical and Electronic Engineering.
Wireless Communication Security Techniques
0.42
article

Improving the Privacy in Wireless-Enabled 5G Networks: A Lightweight Protocol for IIoT Communications

Mamoon M. Saeed, Rashid A. Saeed, Rania A. Mokhtar, Elmustafa Sayed Ali, Zeinab Mohamed Ahmed, Mohammed Elbashier
article en
2 citations

Abstract

The vision and major elements of the fifth generation (5G) ecosystem have previously been explored. We examine how security may impact the envisioned 5G wireless systems and the challenges and potential solutions to aid in these efforts and define the security and privacy aspects of 5G networks. 5G networks have provided solutions for quicker machine control, problem identification, performance analysis, and data access. Interaction between Internet of Things (IoT) nodes occur across an unsecured wireless channel, which has positive and negative effects. Despite being physically separated, unauthorized nodes could communicate via an unprotected wireless channel to gather data and take over industrial devices. Secure sessions can mitigate these risks, but it might be challenging to construct a secure session over a weak channel. To address this issue, the Variable Identification (VID) is used. VID offers a simple key exchange platform to authorized Industry Internet of Things (IIoT) nodes while guarding against unauthorized use. The lightweight changeable pseudonyms used by VID for trust-building are selected at random from a pool discovered in the home network and terminal devices. All IDs are chosen at random from a pool and are used to protect data against forgery, replay, alteration, impersonation, and man-in-the-middle attacks, among other things, between the home network and terminal equipment. The ProVerif tool is used to evaluate the suggested system, and the findings demonstrate that it is trustworthy and resistant to prospective attacks.

Asian Journal of Electrical and Electronic Engineering.Vol. 4(2)
University of Modern Sciences (YE), Red Sea University (SD), Sudan University of Science and Technology (SD)
Openalex Percentile: Top 38%
Wireless Communication Security Techniques
0.42
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.