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

到2022年，预计将部署约290亿台互联网连接设备，其中约155亿台将是短距离连接设备。这些设备有望在许多情况下提高数据传输的效率和质量，但前提是能够满足安全性和可靠性标准。该提案旨在创建一个研究项目，通过开发无线传感器网络（wsn）服务质量（QoS）、能效、网络安全和云集成领域的物联网（IoT）框架的关键组件，解决研究、经济和工业需求。我将重点关注wsn的新协议和机制的开发和验证，通过以下开发来支持物联网应用的增长：

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.