Abstract

Recent advancements in mobile and wireless technology have fundamentally impacted the underpinnings of cloud computing and IoEs. These changes have changed the way data is communicated across numerous channels, allowing for intelligent discovery and operation. The Internet of Things (IoT) is highly reliant on wireless sensor networks (WSNs), which have several applications in industries ranging from smart medicine to military operations to farming. The IoT's substantial reliance on these activities generates a large amount of data. All the above-specified data is transferred to a remote server for storage and processing. As a result, it is critical to enable safe data access in WSNs by authenticating individuals in altered states of awareness. Authenticating drug addicts in WSNs is still a topic that has not been fully addressed. This study describes a novel and improved authenticated key agreement mechanism for WSNs in cloud-based IoT applications. The technique suggested in this research provides a safe and effective solution for ensuring the confidentiality and integrity of the connection between sensor nodes and the cloud server. To enable a secure key exchange, the system implements a cryptographic method that combines symmetric and asymmetric encryption techniques. Furthermore, it employs a basic authentication approach to ensure that no data has been tampered with during transmission. In terms of security, communication overhead, and computing complexity, the simulation results show that the suggested solution outperforms the alternatives. The proposed methodology applies to a wide range of IoT application cases, including the previously described smart home, smart city, and industrial automation implementations. A comparison of related approaches supports the safety of our solution for WSNs.

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