Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform
Syed Atif Ali, Salwa Din

TL;DR
This paper investigates how integrating Wireless Sensor Networks with the ServiceNow cloud platform can enhance security, particularly against Denial of Service attacks, addressing WSNs' inherent resource constraints.
Contribution
It proposes a novel integration approach leveraging cloud computing to improve security in resource-constrained WSNs, focusing on mitigating DoS threats.
Findings
Cloud integration can effectively impede DoS attacks on WSNs
Enhanced security does not significantly impact WSN performance
Integration methodology is suitable for high-risk applications
Abstract
Wireless Sensor Networks (WSNs) continue to experience rapid developments and integration into modern-day applications. Overall, WSNs collect and process relevant data through sensors or nodes and communicate with different networks for superior information management. Nevertheless, a primary concern relative to WSNs is security. Considering the high constraints on throughput, battery, processing power, and memory, typical security procedures present limitations for application in WSNs. This research focuses on the integration of WSNs with the cloud platform, specifically to address these security risks. The cloud platform also adopts a security-driven approach and has attracted many applications across various sectors globally. This research specifically explores how cloud computing could be exploited to impede Denial of Service attacks from endangering WSNs. WSNs are now deployed in…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Smart Systems and Machine Learning · Robotics and Automated Systems
Methodstravel james
