Secure and Reliable Wireless Sensor Networks for Critical Internet of Things Applications

预计到2022年将部署约290亿台互联网连接设备，其中约155亿台将是短程连接设备[1]。这些设备有望在许多情况下提高数据传输的效率和质量，但前提是必须满足安全性和可靠性标准。该提案旨在创建一个研究计划，通过在无线传感器网络（WSNs）服务质量（QoS），功率效率，网络安全和云集成领域开发物联网（IoT）框架的关键组件来满足研究，经济和工业需求。我将专注于开发和验证无线传感器网络的新协议和机制，以支持物联网应用的发展：*-无线传感器网络中QoS的跨层多目标优化机制，*-无线传感器网络的隐私保护QoS协议，*-用于检测和隔离无线传感器网络中被动攻击的集中式和分布式协议，以及 *-多层安全的无线传感器网络云分层数据传输架构。* 我提出的协议和机制是创新的，满足了文献中尚未解决的需求，并被研究界和工业界确定为紧迫的。我的计划，实现QoS和数据隐私，通过开发一个跨层多目标优化（MOO）的多跳无线传感器网络是新的，以及，没有出版物，以处理检测和隔离的被动攻击无线传感器网络。我的研究还将包括开发和实现一个安全的和基于QoS的WSN云集成架构。* 我将开发一个MOO模型，通过制定并求解概率模型来最小化窃听风险，从而最大限度地减少多跳无线传感器网络中的延迟和功耗，从而提供QoS。这些窃听最小化和QoS模型将被集成，以创建一个隐私保护的QoS协议。跨层集成将被用来开发协议，通过它们在数据包传输时间中留下的痕迹来检测和隔离被动攻击。最后，为了将无线传感器网络集成到云中，将开发一个两级分层架构，通过在传感器设备和云网关中实施实时算法来维护安全性和QoS。本发现研究计划中提出的协议将通过解决与无线传感器网络的QoS和安全及其在云架构中的集成相关的重要问题，对经济增长产生积极影响。提出的解决方案将推动WSN技术的进步，并在许多对可靠性、延迟和安全性敏感的应用中实现，如智能电网、智能交通系统（ITS）、环境监测、安全和医疗保健。

Around 29 billion internet-connected devices are forecast to be deployed by 2022, of which about 15.5 billion will be short-range connected devices [1]. These devices hold the promise of improving efficiency and quality of data delivery in many contexts, but only if security and reliability standards can be met. This proposal aims to create a research program that addresses research, economic, and industrial needs by developing critical components of the internet of things (IoT) framework in the areas of wireless sensor networks (WSNs) quality of service (QoS), power efficiency, cybersecurity, and cloud integration. I will focus on the development and validation of novel protocols and mechanisms for WSNs to support the growth of IoT applications through the development of:***- a cross-layer multi-objective optimization mechanism for QoS in WSNs,***- a privacy-preserving QoS protocol for WSNs,***- centralized and distributed protocols for detecting and isolating passive attacks in WSNs, and ***- a multi-layer secure WSN-cloud hierarchical data delivery architecture. *** The protocols and mechanisms I propose are innovative and meet needs not yet addressed in the literature and are identified as urgent by the research community and industry. My plan to implement both QoS and data privacy by developing a cross-layer multi-objective optimization (MOO) for multi-hop WSNs is new; as well, no publications to date deal with the detection and isolation of passive attacks in WSNs. My research will also include the development and implementation of a secure and QoS-based WSN-cloud integration architecture. *** I will develop a MOO model to provide QoS by minimizing the delay and power consumption in multi-hop WSNs by formulating and then solving a probabilistic model to minimize eavesdropping risks. These eavesdropping minimization and QoS models will be integrated to create a privacy-preserving QoS protocol. Cross-layer integration will be leveraged to develop protocols for detecting and isolating passive attacks by the traces they leave in packet transmission timing. Finally, to integrate the WSNs into the cloud, a two-level hierarchical architecture will be developed to maintain security and QoS by implementing real-time algorithms in the sensor devices and cloud gateways.*** The protocols proposed in this Discovery research program will positively impact economic growth by addressing vital issues related to QoS and security of WSNs and their integration in cloud architectures. The proposed solutions will lead to advancements in WSN technologies and their implementation in many applications sensitive to reliability, delay and security, such as the smart grid, intelligent transportation systems (ITS), environmental monitoring, security, and healthcare.**