CAREER: Securing Channel Access in Multi-Channel Ad Hoc Networks

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。职业：确保多通道自组织网络中的通道访问建议ID: 0844111PI？越来越多的移动用户依靠无线技术来获得安全和不间断的网络服务访问。随着通过无线媒介传播的数据量迅速扩大，提供性能、可靠性和安全性成为具有挑战性的问题。这些问题可以通过使用多个正交频带（信道）来缓解，这已被证明可以大大减少争用和干扰。然而，对于物理安全性较差且缺乏集中资源分配的系统，例如自组织、传感器和认知无线电网络，针对介质信道访问机制的大量内部和外部攻击可能会抵消由于信道化而获得的任何收益。大多数以前的对手模型和保护方法仅限于单通道网络，从而忽略了通道化的额外漏洞和复杂性。该项目旨在提高我们对通道访问的可行攻击空间的理解。我们设计了安全的多通道访问技术，重点是控制流量的保护，协同攻击检测和非协调媒体共享。此外，对于具有动态频谱的网络，如认知无线电网络，我们开发了可验证的信道感知方法。这项工作的核心是我们在定义良好的对抗性模型下定义定量安全度量。进行的研究预计将加强无线网络的安全性和性能非常需要的保证。在教育领域，该项目旨在让本科生和研究生了解计算机工程、信息科学和数学等跨学科领域的基本问题。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).CAREER: Securing Channel Access in Multi-Channel Ad Hoc NetworksProposal ID: 0844111PI?s Name: Loukas LazosUniversity of ArizonaAward AbstractAn increasing number of mobile users rely on wireless technologies to gain secure and uninterrupted access to network services. As the volume of data disseminated via the wireless medium rapidly expands, provision of performance, reliability, and security become challenging problems. These problems can be alleviated by the use of multiple orthogonal frequency bands (channels) that has been demonstrated to substantially reduce contention and interference. However, for systems with poor physical security and lack of centralized resource allocation such as ad hoc, sensor, and cognitive radio networks, a multitude of internal and external attacks against the medium channel access mechanisms can negate any gains due to channelization. Most previous adversary models and protection methods are limited to single-channel networks thus ignoring the additional vulnerabilities and complexities of channelization. This project aims to advance our understanding regarding the feasible space of attacks against channel access. We design secure multi-channel access techniques, focusing on the protection of control traffic, collaborative attack detection, and uncoordinated medium sharing. Moreover, for networks with dynamic spectrum such as cognitive radio networks, we develop verifiable channel sensing methods. Central to this effort is our definition of quantitative security metrics under well defined adversarial models. Conducted research is expected to enforce wireless networks with the very much needed guarantees in security and performance.In the educational domain, this project seeks to expose undergraduate and graduate students to fundamental problems from interdisciplinary fields in computer engineering, information science, and mathematics.