CAREER: Building Reliable Network of Unreliable Things

职业：建立不可靠事物的可靠网络

• 批准号: 1652503
• 负责人: Lu Su
• 金额: $ 50.89万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1652503&HistoricalAwards=false
• 关键词: CAREER; Building; Reliable; Network; Unreliable

Recent years have witnessed the rise of Internet of Things (IoT), a newly emergent networking paradigm that connects humans and the physical world through ubiquitous sensing, computing, and communicating devices. With the ultimate goal of building reliable, robust, and secure IoT systems that are usually composed of multitudes of unreliable wireless devices - sometimes even carried by malicious users - this project develops TRIP, a 3-in-1 integrated framework of TRuth discovery, Incentive, and Privacy preserving mechanisms for IoT systems. This framework consists of 1) a truth discovery mechanism that can distill true information from the deluge of sensory data generated by the ubiquitous IoT devices, 2) a security and privacy mechanism that can not only protect user privacy but also defend against malicious attack, and 3) an incentive mechanism that can select reliable participants in order to maximize the quality of collected information. The successful completion of this project, which for the first time systematically investigates an integrated design of IoT systems, will facilitate not only a whole spectrum of applications that have significant natural and societal impact, but also various curriculum development and outreach activities that can benefit a large group of students, especially the female and minority students.In order to realize the proposed TRIP system, this project addresses a series of important research challenges. First, to infer truth information from the noisy and sparse sensory data collected by human-carried IoT devices, this project delivers a novel truth discovery method that can capture the variety in the reliability of different users as well as the correlations among the objects. Second, this project investigates not only privacy preserving mechanisms that allow the server to conduct truth discovery operations without knowing the genuine values of user observations, but also security solutions that defend against malicious users who try to inject false information for the purpose of sabotage or financial rewards. Third, an effective incentive mechanism is developed to motivate reliable users to contribute to the IoT tasks. Finally, the above mechanisms are seamlessly integrated into networked IoT systems in a distributed and parallel manner, and evaluated on real testbeds in order to validate the effectiveness, efficiency, and the practicality of the proposed research.

近年来，物联网（IoT）的兴起（物联网）是一种新兴的网络范式，通过无处不在的感应，计算和通信设备将人类和物理世界连接起来。最终的目标是构建通常由多种不可靠的无线设备（有时甚至是恶意用户携带的）组成的可靠，健壮和安全的物联网系统，该项目开发了Trip，Trip Trip，一个3英寸1的集成框架真相发现，激励性，激励和隐私保护物联网系统的机制。该框架由1）一个真实发现机制组成，该机制可以从无处不在的IoT设备产生的感官数据中提取真实信息，2）一种安全性和隐私机制，不仅可以保护用户隐私，还可以防御恶意攻击，3）可以选择可靠的参与者，以最大程度地提高素质信息的质量信息。该项目的成功完成，该项目首次系统地研究了物联网系统的集成设计，不仅将促进具有重大自然和社会影响的全部应用程序，而且还将促进各种课程发展和各种课程发展和外展活动，这些活动和外展活动可以使大量学生，尤其是女性和少数派学生，尤其是女性和少数派学生。在命令中，命令实现拟议的Trive System，这是一系列重要的研究，这是一系列重要的研究。首先，为了从人婚的物联网设备收集的嘈杂和稀疏的感官数据中推断真话信息，该项目提供了一种新颖的真相发现方法，可以捕获不同用户的可靠性以及对象之间的相关性的多样性。其次，该项目不仅调查了保留机制的隐私机制，这些机制使服务器可以在不知道用户观察的真实价值的情况下进行真相发现操作，而且还可以对试图为破坏或财务奖励注入虚假信息的恶意用户的安全解决方案。第三，开发了一种有效的激励机制，以激励可靠的用户为物联网任务做出贡献。最后，上述机制以分布式和并行的方式无缝集成到网络的物联网系统中，并在实际测试床上进行了评估，以验证拟议研究的有效性，效率和实用性。

项目成果

Road Grade Estimation Using Crowd-Sourced Smartphone Data

• DOI: 10.1109/ipsn48710.2020.00-25
• 发表时间: 2020-01-01
• 期刊: 2020 19TH ACM/IEEE INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN 2020)
• 作者: Gupta, Abhishek;Hu, Shaohan;Qiao, Chunming
• 通讯作者: Qiao, Chunming

A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling

• DOI: 10.1145/3369815
• 发表时间: 2019-12
• 期刊: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
• 作者: Weida Zhong;Qiuling Suo;Fenglong Ma;Yunfei Hou;Abhishek Gupta;C. Qiao;Lu Su

Towards Data Poisoning Attacks in Crowd Sensing Systems

• DOI: 10.1145/3209582.3209594
• 发表时间: 2018-01-01
• 期刊: PROCEEDINGS OF THE 2018 THE NINETEENTH INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC '18)
• 作者: Miao, Chenglin;Li, Qi;Su, Lu
• 通讯作者: Su, Lu

Towards Confidence Interval Estimation in Truth Discovery

• DOI: 10.1109/tkde.2018.2837026
• 发表时间: 2019-03
• 期刊: IEEE Transactions on Knowledge and Data Engineering
• 影响因子: 8.9
• 作者: Houping Xiao;Jing Gao;Qi Li;Fenglong Ma;Lu Su;Yunlong Feng;Aidong Zhang

Towards 3D human pose construction using wifi

• DOI: 10.1145/3372224.3380900
• 发表时间: 2020-04
• 期刊: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
• 作者: Wenjun Jiang;Hongfei Xue;Chenglin Miao;Shiyang Wang;Sen Lin;Chong Tian;Srinivasan Murali;Haochen Hu;Zhi Sun;Lu Su