TY - JOUR
T1 - Internet of things-based secure architecture to automate industry
AU - Aljumah, Abdullah
AU - Ahanger, Tariq Ahamed
AU - Fazal Din, Imdad
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/11
Y1 - 2024/11
N2 - The internet of things (IoT) represents a transformable breakthrough in the domain of intelligent devices, enabling essential functions such as data collection, management, and efficient storage. It has the potential to drive significant progress in various aspects of daily life, particularly within industrial environments where it can facilitate real-time product monitoring, information management, and status evaluation. Securing the authentication, authorization, and confidentiality of data within interconnected industrial IoT networks is of paramount importance. This study presents a secure lightweight IoT architecture that incorporates wireless sensor networks (WSN). Performance evaluation involves comparing the conventional security solutions with the proposed approach. The results demonstrate a 3% reduction in CPU cycles, 9% less execution time, a 3% decrease in memory capacity requirements, and a 9% improvement in security effectiveness. Additionally, the proposed model achieved enhanced cryptanalysis accuracy, registering at 97.34%.
AB - The internet of things (IoT) represents a transformable breakthrough in the domain of intelligent devices, enabling essential functions such as data collection, management, and efficient storage. It has the potential to drive significant progress in various aspects of daily life, particularly within industrial environments where it can facilitate real-time product monitoring, information management, and status evaluation. Securing the authentication, authorization, and confidentiality of data within interconnected industrial IoT networks is of paramount importance. This study presents a secure lightweight IoT architecture that incorporates wireless sensor networks (WSN). Performance evaluation involves comparing the conventional security solutions with the proposed approach. The results demonstrate a 3% reduction in CPU cycles, 9% less execution time, a 3% decrease in memory capacity requirements, and a 9% improvement in security effectiveness. Additionally, the proposed model achieved enhanced cryptanalysis accuracy, registering at 97.34%.
KW - Artificial intelligence
KW - Internet of things
KW - Security
KW - Smart city
UR - http://www.scopus.com/inward/record.url?scp=85193285739&partnerID=8YFLogxK
U2 - 10.1007/s10586-024-04499-z
DO - 10.1007/s10586-024-04499-z
M3 - Article
AN - SCOPUS:85193285739
SN - 1386-7857
VL - 27
SP - 11103
EP - 11118
JO - Cluster Computing
JF - Cluster Computing
IS - 8
ER -