| Title |
Internet of things-based secure architecture to automate industry |
| ID_Doc |
43644 |
| Authors |
Aljumah, A; Ahanger, TA; Ullah, I |
| Title |
Internet of things-based secure architecture to automate industry |
| Year |
2024 |
| Published |
Cluster Computing-The Journal Of Networks Software Tools And Applications, 27, 8 |
| DOI |
10.1007/s10586-024-04499-z |
| Abstract |
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%. |
| Author Keywords |
Security; Smart city; Internet of things; Artificial intelligence |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001226768500001 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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