MRI: Development of an Information Assurance and Performance Infrastructure for the Internet of Things

MRI：物联网信息保障和性能基础设施的开发

• 批准号: 1828363
• 负责人: Jamie Payton
• 金额: $ 40万
• 依托单位: Temple University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1828363&HistoricalAwards=false
• 关键词: MRI; Development; Information; Assurance; Performance

This project, developing an Information Assurance and Performance (IAP) Infrastructure for the Internet of Things (IoT) in which sensing and actuation is embedded in everyday objects connected via the Internet, has the potential to support an increased level of intelligent, dynamic decision making across a wide array of domains, such as smart cities, intelligent agriculture, and emergency response management. IAP is expected to enable projects in IoT security and performance and related technologies (e.g., robust data storage schemes and elastic provisioning algorithms for cloud based systems). The infrastructure consists of mobile and embedded IoT devices, IoT edge computing servers, software defined networking (SDN) switches, high performance and reliable data storage, software components implementing research communication protocols, elastic algorithms, and computational offloading in IoT systems. Research projects are enabled by the construction of the testbed hardware, algorithms/protocols/schemes, and the corresponding software implementation. The projects described should result in the exploration of: scalable & trustworthy architectures & networking protocols for IoT systems,role-based behavioral threat detection approaches for IoT systems, elastic provisioning algorithms for cloud-based centers, and risk-aware failure identification for expedited recovery.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目为物联网（IoT）开发信息保证和性能（IAP）基础设施，其中传感和驱动嵌入到通过互联网连接的日常对象中，有可能支持在智能城市，智能农业和应急响应管理等广泛领域提高智能，动态决策水平。IAP预计将支持物联网安全和性能以及相关技术（例如，用于基于云的系统的鲁棒数据存储方案和弹性供应算法）。该基础设施包括移动的和嵌入式物联网设备、物联网边缘计算服务器、软件定义网络（SDN）交换机、高性能和可靠的数据存储、实现研究通信协议的软件组件、弹性算法和物联网系统中的计算卸载。研究项目通过构建测试平台硬件，算法/协议/方案以及相应的软件实现来实现。所描述的项目应导致对以下方面的探索：可扩展的可信架构物联网系统的网络协议，基于角色的物联网系统行为威胁检测方法，基于云的中心的弹性配置算法，以及用于加速恢复的风险感知故障识别。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估而被认为值得支持。

项目成果

LightDefender: Protecting PIN Input using Ambient Light Sensor

LightDefender：使用环境光传感器保护 PIN 输入

• DOI: 10.1109/percom45495.2020.9127361
• 发表时间: 2020
• 期刊: Proc. of the 18th IEEE International Conference on Pervasive Computing and Communications (PerCom 2020
• 作者: Shang, J

Efficient Switch Migration for Controller Load Balancing in Software Defined Networking

软件定义网络中控制器负载平衡的高效交换机迁移

• 发表时间: 2021
• 期刊: International Teletraffic Congress
• 作者: Biswas, R. and

Minimizing the Number of Rules to Mitigate Link Congestion in SDN-based Datacenters

• DOI: 10.1109/nas51552.2021.9605365
• 发表时间: 2021-10
• 期刊: 2021 IEEE International Conference on Networking, Architecture and Storage (NAS)
• 作者: Rajorshi Biswas;Jie Wu

Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression

• DOI: 10.1016/j.jnca.2022.103452
• 发表时间: 2022-06
• 期刊: J. Netw. Comput. Appl.
• 作者: Nan Wang;Tong Liu;Jinzhen Wang;Qing Liu;Shakeel Alibhai;Xubin He

Enhancing Load Balancing by Intrusion Detection System Chain on SDN Data Plane

• DOI: 10.1109/cns56114.2022.9947270
• 发表时间: 2022-10
• 期刊: 2022 IEEE Conference on Communications and Network Security (CNS)
• 作者: Nadia Niknami;Jie Wu