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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=715919
• 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290亿个与Internet连接的设备，其中约155亿台将是短距离连接的设备[1]。这些设备有望在许多情况下提高数据传输效率和质量，但前提是可以满足安全性和可靠性标准。该建议旨在通过在无线传感器网络（WSNS）服务质量（QOS），功率效率，网络安全性和云集成的领域中开发重要组成部分（IoT）框架来创建一个研究计划，以解决研究，经济和工业需求。我将重点介绍WSN的新规程和机制的开发和验证，以通过开发来支持物联网应用的增长： - WSN中QoS的跨层多目标优化机制， - WSN的隐私保护QoS协议， - 用于检测和隔离WSN中的被动攻击的集中和分布式协议，以及 - 多层安全的WSN-Cloud层次数据输送体系结构。 我提出的协议和机制具有创新性，并且满足文献中尚未满足的需求，并被研究社区和行业确定为紧急。我通过为多跳WSN开发跨层多目标优化（MOO）来实现QoS和数据隐私的计划是新的；同样，迄今为止，尚无出版物涉及WSN中被动攻击的检测和隔离。我的研究还将包括开发和实施基于安全和QoS的WSN-Cloud集成体系结构。 我将开发一个MOO模型来提供QoS，以最大程度地减少多跳WSN的延迟和功耗，然后通过制定概率模型来最大程度地减少窃听风险。这些窃听的最小化和QoS模型将集成以创建隐私保护QoS协议。将利用跨层集成来开发协议，以通过在数据包传输时机中留下的痕迹来检测和隔离被动攻击。最后，为了将WSN集成到云中，将开发两级层次结构，以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QoS。 该发现研究计划中提出的协议将通过解决与WSN的QoS和安全性有关的重要问题及其在云体系结构中的整合，从而对经济增长产生积极影响。拟议的解决方案将导致WSN技术的进步及其在许多对可靠性，延迟和安全敏感的应用程序中的实施，例如智能电网，智能运输系统（ITS），环境监控，安全和医疗保健。