Location-aware Secutiry and Privacy in 5G Wireless Networks

5G 无线网络中的位置感知安全和隐私

• 批准号: 494075-2016
• 负责人: Valaee, Shahrokh
• 金额: $ 10.56万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=642076
• 关键词: Location; aware; Secutiry; Privacy; 5G

The next generation wireless networks, dubbed 5G, provide higher bandwidth, lower latency, and better connectivity, supporting billions of interconnected communicating nodes, ranging from devices of a user, to sensors and autonomous machines. Three main enablers of the next generation wireless services are the heterogeneous (multi-tier) networks known as HetNet, millimetre wave (mmWave) radio spectrum, and massive multiple-input multiple-output (MIMO) antennas at mmWave. Providing security and trust in this environment while crucial, is particularly challenging because of the ability of malicious nodes to present fake identities, and eavesdrop, manipulate and jam the communication. The primary security challenges facing a node in a 5G system are: (i) identifying trustable nodes to connect to and, (ii) ensuring confidentiality and reliability of communication, and secure access to services. Physical layer properties of wireless systems provide a rich set of resources for system designers to enhance security and privacy of communication at affordable cost, complementing cryptographic security that are provided at the higher layer of communication stack. The goal of this project is to use the location-related information of the node for enhancing secure access. Location-related information can be securely realized by tapping into technologies such as massive MIMO and beam forming, that will become widely available in future networks, and be used to can significantly enhance trust on nodes' claimed identities and their access requests, by verifying their location information. Our research will have two complementary prongs:-- Developing theories, models and techniques for providing trustable location-related information, and employing this information to guarantee secure access to services;-- Developing communication technologies including massive MIMO at mmWave, coding and modulation to implement and experimentally validate the theoretical results, in practice.

下一代无线网络以5G为5G，提供更高的带宽，较低的延迟和更好的连接性，支持数十亿个互连的通信节点，从用户的设备到传感器和自动驾驶机。下一代无线服务的三个主要推动因素是称为HETNET，毫米波（MMWave）无线电频谱的异质（多层）网络和MMWave的大量多输入多输出（MIMO）天线。在至关重要的情况下，在这种环境中提供安全性和信任是特别具有挑战性的，因为恶意节点能够提出假身份，并窃听，操纵和堵塞交流。 5G系统中节点面临的主要安全挑战是：（i）确定可信赖的节点以连接到和（ii）确保通信的机密性和可靠性以及安全访问服务。无线系统的物理层属性为系统设计人员提供了丰富的资源，以负担得起的成本增强通信的安全性和隐私，并补充了在较高的通信堆栈中提供的加密安全性。该项目的目的是使用节点的位置相关信息来增强安全访问。可以通过利用诸如大规模的MIMO和光束形成等技术来安全地实现与位置相关的信息，这些技术将在未来的网络中广泛使用，并可以通过验证其位置信息来显着增强对节点声称的身份及其访问请求的信任。我们的研究将有两个互补的prongs： - 开发用于提供可信赖的位置相关信息的理论，模型和技术，并采用此信息来保证安全访问服务； - 在实践中，开发了包括MMWave的大规模MIMO，包括MMWave的大规模MIMO，在MMWave上进行大规模编码和调制，并在实践中实施和实验验证理论结果。