CIF: Small: Foundations for Intrinsically Secure Networks: the Role of Network Interference

在今天的信息社会中，安全地传输信息、保证隐私和对用户进行身份验证的能力构成了保密和经济优势的基础。现代无线安全系统从为传统有线应用开发的方案演变而来，忽略了无线电传播信道的特殊功能。同时，可以通过利用这些无线信道的物理属性来增强无线网络的保密性。目前在这方面的研究活动在很大程度上忽视了无线电干扰，因为无线电干扰可能从根本上影响通信的保密性。因此，确定干扰(通常被认为对通信有害)对网络保密性的各种影响，以及开发利用干扰和无线信道的固有特性来提高网络保密性的技术至关重要。该研究为空间分布的合法用户、干扰者和窃听者形成的无线社区内的本质安全的信息交换奠定了基础。运用通信理论、信息论、统计推理、概率论、随机几何、图论等多学科的原理和概念来刻画干扰对网络保密性的影响。具体地说，本研究(1)建立了一个确定大规模无线网络保密率的框架；(2)确定了ISI图的性质，这是一种在存在干扰的情况下表征固有保密性的随机几何图；(3)分析了存在合谋窃听者的网络保密性；(4)评估了保密性增强技术的性能，包括故意干扰产生和扇区传输。这项研究加深了对干扰对网络保密的利弊的理解，为更安全、更安全的信息社会铺平了道路。

The ability to transfer information securely, to guarantee privacy, and to authenticate users in wireless networks forms the basis for confidentiality and economic advantage in today's information society. Contemporary wireless security systems evolved from schemes developed for traditional wireline applications, ignoring the special features of radio propagation channels. Meanwhile, the secrecy of wireless networks can be strengthened by exploiting the physical properties of these radio channels. Current research activities in this direction have largely ignored radio interference that can affect the secrecy of communication in a fundamental way. Therefore, it is crucial to characterize the various effects of interference (conventionally considered deleterious for communications) on network secrecy, as well as to develop techniques that exploit intrinsic properties of interference and radio channels for improving network secrecy.This research establishes foundations for the intrinsically secure exchange of information within wireless communities formed by spatially distributed legitimate users, interferers, and eavesdroppers. Principles and concepts from multiple disciplines such as communication theory, information theory, statistical inference, probability theory, stochastic geometry, and graph theory are employed to characterize the role of interference on network secrecy. In particular, this research (1) establishes a framework to determine the secrecy rate in large-scale wireless networks; (2) determines the properties of the iSI-graph, a random geometric graph that characterizes intrinsic secrecy in the presence of interference; (3) analyzes network secrecy in the presence of colluding eavesdroppers; and (4) evaluates the performance of secrecy enhancing techniques, including deliberate interference generation and sectorized transmission. This research provides a deeper understanding of the advantages and disadvantages of interference on network secrecy, paving the way to a more secure and safer information society.