将WSN与ServiceNow云平台结合，提升其抗拒绝服务攻击能力。
Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform
- 通过云平台增强WSN的安全性，缓解资源受限带来的安全挑战。
- 利用云平台的集中式管理能力，有效防御针对传感器网络的拒绝服务攻击。
- 适合关注物联网安全、特别是工业与医疗领域部署的开发者和研究人员。
无线传感器网络（WSNs）在现代应用中快速发展并广泛应用，其通过传感器节点采集数据并与其他网络通信以实现高效信息管理。然而，安全性仍是核心挑战。由于对吞吐量、电池寿命、处理能力和内存的严格限制，传统安全机制难以在WSN中应用。本研究聚焦于将WSN与云平台（特别是ServiceNow）集成，以应对安全风险。云平台采用安全驱动策略，在全球多个领域广泛应用。研究重点探讨如何利用云计算防范拒绝服务（DoS）攻击对WSN的威胁。当前WSN已广泛应用于灾害管理、国土安全、战场监控、农业及医疗等行业。与传统网络不同，WSN由大量无线连接的传感器组成，执行特定任务。测试场景中，网络规模从少数节点扩展至数千个。总体要求包括快速数据处理、低成本部署维护以及低延迟网络操作。鉴于大量应用部署于高风险和不稳定环境，必须确保数据在传输、存储和通信过程中的安全性，而这是当前WSN的薄弱环节。因资源限制，现有系统仍多用于非安全场景。本研究探索了将WSN与云平台集成的有效方法。
原文摘要 · Abstract (English)
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.
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