NeTS: Small: Secure Crowdsourcing-Based Cooperative Spectrum Sensing

基于众包的协作频谱感知（CCSS）是指频谱感知服务提供商（SSP）将大地理区域上的频谱感知任务外包给被称为移动的检测器的分布式移动的用户。CCSS的前景和可行性深深地植根于日益强大的移动的设备对日常生活的无处不在的渗透以及未来移动的通信系统中动态频谱接入（DSA）的预期流行。CCSS预计将比部署分布式频谱传感器的大规模专用网络更具成本效益。本研究旨在探讨一种安全且具隐私保护的CCSS架构。研究任务包括：（1）移动的检测器的激励感知和信誉感知选择，由此SSP可以选择用于感测任务的移动的检测器的最佳集合;（2）安全组合，其使得SSP能够最小化错误感测报告对最终检测结果的影响;（三）、- 信誉系统，其记录移动的检测器的过去感测性能，并且为移动的检测器的选择提供关键输入，以及感测报告的安全组合;以及（4）频谱滥用检测，以使得能够实时检测未授权的频谱使用。这项研究将扩大在CCSS的安全，隐私和激励问题的基本理解。该项目的材料将以教程、讲座、出版物和软件工具包的形式在网上公开提供。该项目的教育计划是开发关于DSA的新的跨学科教材，并让本科生、代表性不足的学生和研究生参与网络和安全研究。

Crowdsourcing-based cooperative spectrum sensing (CCSS) refers to a spectrum-sensing service provider (SSP) outsourcing the spectrum-sensing tasks over a large geographic region to distributed mobile users referred to as mobile detectors. The promise and feasibility of CCSS are deeply rooted in the ubiquitous penetration of increasingly powerful mobile devices into everyday life and in the anticipated prevalence of dynamic spectrum access (DSA) in future mobile communication systems. CCSS is expected to be much more cost-effective than deploying a large-scale dedicated network of distributed spectrum sensors. This research is to investigate a secure and privacy-preserving CCSS architecture. The research tasks include: (1) incentive-aware and reputation-aware selection of mobile detectors whereby the SSP can select an optimal set of mobile detectors for a sensing task; (2) secure combination which enables the SSP to minimize the impact of false sensing reports on the final detection result; (3) a reputation system which records the past sensing performance of mobile detectors and provides crucial input into the selection of mobile detectors and the secure combination of sensing reports; and (4) spectrum-misuse detection to enable the realtime detection of unauthorized spectrum use. This research will expand the fundamental understanding of security, privacy, and incentive issues in CCSS. Materials of this project will be made publicly available online as tutorials, talks, publications, and software toolkits. The education plan of this project is to develop new cross-disciplinary teaching materials on DSA and involve undergraduates, underrepresented students, and graduates in networking and security research.