In Wireless Sensory Networks (WSNs) a pivotal role will be in collection and disseminating process of sensitive data across various applications of domains, ranges from healthcare to industrial automation process. However, the inherently vulnerabilities to wireless communication as it exposes these networks to a potential security threat. In response to the challenges, the current research proposes a robust and adaptable encryption supportive system. By leveraging renowned Rivest Cipher mechanism, to enhances data protection in WSNs. The proposed system is named as RivaDataGuard which integrates the time-tested Rivest Cipher algorithm for providing a formidable defensive process against unauthorized access and data breaches. It is known that Rivest Cipher for its strength in confidentiality and data-integrity to ensures a secured communication channel within the WSN infrastructure. It will employ a dynamically varying management system, facilitating the generation and distribution of cryptographically generated keys to Sensory nodes. This dynamic approach will enhance the system's resilience to attacks by ensuring that even if one Nodal point will be in malicious behavioral, the overall network performance will remain secure. This adaptability of Proposed methodology will not only optimize performance but also it minimizes power consumption which is a crucial factor for resource-constrained Sensory nodes. For performance evaluation, the proposed system will undergo a rigorous testing and evaluation for validating its effectiveness in dynamically varying scenarios.
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Rameshbhai et al. (2024) studied this question.
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