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

适用于关键物联网应用的安全可靠的无线传感器网络

• 批准号: RGPIN-2019-06060
• 负责人: AlAnbagi, Irfan
• 金额: $ 2.04万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753105
• 关键词: Secure; Reliable; Wireless; Sensor; Networks

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.

预计到 2022 年将部署约 290 亿台联网设备，其中约 155 亿台为短程连接设备 [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，但前提是能够满足安全性和可靠性标准。该提案旨在创建一个研究计划，通过开发无线传感器网络（WSN）服务质量（QoS）、电源效率、物联网（IoT）框架的关键组件来满足研究、经济和工业需求。网络安全和云集成。我将重点开发和验证 WSN 的新颖协议和机制，通过开发以下内容来支持物联网应用的增长： - WSN 中 QoS 的跨层多目标优化机制， - 隐私保护 QoS 协议WSN， - 用于检测和隔离 WSN 中被动攻击的集中式和分布式协议，以及 - 多层安全 WSN 云分层数据传输架构。 我提出的协议和机制具有创新性，可以满足文献中尚未解决的需求，并被研究界和行业认为是紧迫的。我的计划是通过为多跳 WSN 开发跨层多目标优化 (MOO) 来实现 QoS 和数据隐私；这是一个新计划；此外，迄今为止还没有出版物涉及无线传感器网络中被动​​攻击的检测和隔离。我的研究还将包括开发和实施安全且基于 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大限度地减少窃听风险，从而最大限度地减少多跳 WSN 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隐私保护 QoS 协议。将利用跨层集成来开发协议，通过被动攻击在数据包传输时序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现实时算法来维护安全性和服务质量。该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服务质量和安全性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。所提出的解决方案将推动 WSN 技术的进步及其在许多对可靠性、延迟和安全性敏感的应用中的实施，例如智能电网、智能交通系统 (ITS)、环境监测、安全和医疗保健。