CNS Core: Small: Enabling Privacy-Preserving Routing-on-Context in IoT

在过去的50年里，互联网已经从最初只连接计算机的数据网络演变为物联网(IoT)-不仅连接计算机，而且连接物理世界中的事物的全球网络-物理网络。与计算机相比，互联的事物与其物理环境(又名)紧密相连。上下文)通过感知。因此，物联网应用通常是面向上下文的，即，了解形成应用兴趣的物理环境并对其敏感，而传统的基于计算机的互联网应用是上下文不可知的。尽管互联的事物和计算机之间存在明显的差异，而且互联网流量正在从计算机通信转向面向上下文的物联网应用，但令人惊讶的是，与长期存在的基于连接的路由相比，今天的互联网路由原则几乎没有变化，其特征是连接特定的源节点和特定的目的节点。面向上下文的物联网应用在这种传统的路由模型下表现不佳，因为这些应用本质上针对的是应用上下文，而不是特定的目的节点。为了更好地支持物联网在未来的互联网，该项目寻求建立一种新的高效和隐私保护的路由技术，该技术基于目标应用上下文，但不披露这些信息。该项目将提供急需的解决方案，在保护数千万物联网用户隐私的同时，支持他们高效使用物联网，从而对国家经济和社会福祉产生深远影响。该项目还将执行一项全面的教育计划，以扩大其影响，重点放在任职人数不足和少数群体。该项目将推动隐私保护基于上下文的路由的最新技术。PI将开发用于在加密空间中布线的新工具和技术，从而根据加密的位置信息直接计算和表示地理路线。具体来说，将开发两种新的技术：(I)基于空间填充曲线的新的空间加密方法；(Ii)基于Kademlia树的路由技术，以在加密空间中实现高效且隐私保护的地理路由。该项目还将建立建议方法在各种特殊条件下的效率和隐私之间的权衡，例如移动性和不同的攻击模式。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Over the past 50 years, Internet has evolved from initially a data network connecting only computers to an Internet of Things (IoT) - a global cyber-physical network that connects not only computers but also things in the physical world. Compared with computers, the connected things are closely coupled with their physical environment (a.k.a. the context) through sensing. As a result, IoT applications are typically context-oriented, i.e., being aware of and sensitive to the physical circumstances that form the interest of the application, while conventional computer-based Internet applications are context agnostic. Despite the distinct disparities between connected things and computers and the fact that Internet traffic is shifting from computer communication to context-oriented IoT applications, surprisingly, today's Internet routing principle has little change than the long-standing connectivity-based routing, characterized as connecting a specific source node with a specific destination node. Context-oriented IoT applications do not perform well under this traditional routing model, because what these applications are essentially targeting on is the application context, rather than a specific destination node. To better support IoT in the future Internet, this project seeks to establish a new efficient and privacy-preserving routing technique that is based on the targeted application context but does not disclose this information. This project will provide the urgently-needed solution to protect the privacy of tens of millions of IoT users while supporting their efficient usage of IoT, thus making a deep impact on the nation's economy and social well-being. This project will also carry out a comprehensive education plan to broaden its impact, with an emphasis on underrepresented and minority groups. This project will advance the state of the art in privacy-preserving context-based routing. The PI will develop new tools and techniques for routing in the encrypted space, whereby geographic routes are computed and represented directly based upon encrypted location information. In particular, two novel techniques will be developed: (i) a novel space-filling-curve-based method for encrypting the space; (ii) a Kademlia-tree-based routing technique to achieve efficient and privacy-preserving geographic routing in the encrypted space. The project will also establish the efficiency-privacy tradeoff for the proposed methods under various special conditions such as mobility and different attack models.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.