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 various low-powered applications, including disaster management, homeland security, battlefield surveillance, agriculture, and the healthcare industry. WSNs are distinguished from traditional networks by the numerous wireless connected sensors being deployed to conduct an assigned task. In testing scenarios, the size of WSNs ranges from a few to several thousand. The overarching requirements of WSNs include rapid processing of collected data, low-cost installation and maintenance, and low latency in network operations. Given that a substantial amount of WSN applications are used in high-risk and volatile environments, they must effectively address security concerns. This includes the secure movement, storage, and communication of data through networks, an environment in which WSNs are notably vulnerable. The limitations of WSNs have meant that they are predominantly used in unsecured applications despite positive advancements. This study explores methods for integrating the WSN with the cloud.

翻译：无线传感器网络（WSNs）持续经历快速发展并日益融入现代应用。总体而言，WSNs通过传感器或节点收集和处理相关数据，并与不同网络通信以实现高效的信息管理。然而，与WSNs相关的一个主要问题是安全性。考虑到其在吞吐量、电池续航、处理能力和内存方面的高度限制，传统安全方案在WSNs中的应用存在局限性。本研究聚焦于WSNs与云平台的集成，旨在专门应对这些安全风险。该云平台同样采用安全驱动的方法，已在全球各领域吸引了众多应用。本研究具体探讨了如何利用云计算来阻止拒绝服务攻击对WSNs的威胁。目前，WSNs已部署于多种低功耗应用中，包括灾害管理、国土安全、战场监视、农业和医疗保健行业。WSNs与传统网络的区别在于其部署了大量无线连接的传感器来执行指定任务。在测试场景中，WSNs的规模从数个到数千个不等。WSNs的核心需求包括对采集数据的快速处理、低成本的安装与维护，以及网络操作的低延迟。鉴于大量WSN应用部署于高风险和动态变化的环境中，它们必须有效解决安全问题，包括数据在网络中的安全传输、存储和通信——这正是WSNs尤为脆弱的环节。尽管取得了积极进展，但WSNs的局限性导致其目前主要应用于非安全关键领域。本研究探索了将WSN与云平台集成的具体方法。