Cooperation And Information Theoretic Security In Wireless Networks

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ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.:/5 (115 download)

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Download or read book Information-theoretic Security in the Next Generation Wireless Networks written by and published by . This book was released on 2019 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security arises as one of the most important features and a new quality of service (QoS) constraint that must be accounted for in the fifth-generation (5G) wireless network design. The inherent broadcast characteristic of wireless communication allows transmissions to be received by any user within the range, resulting in attackers' ability to initiate various passive attacks. The essential premise of information-theoretic security is to ensure the reliable and secure communications in the presence of adversarial users by adopting physical layer (PHY-layer) approaches, without relying on higher-layer encryption. This can be achieved primarily in two ways: by extracting secret keys over public channels via exploiting the randomness of wireless communication channel, or by tactfully designing transmission beamforming strategies without the need for a secret key. This dissertation presents a comprehensive study resulting in novel definitions, metrics and methods for the information-theoretic security in the wireless communication on above two tracks. In this dissertation, both the theoretical and the practical aspects of physical layer security (PLS) are concentrated on. One objective of this research is to study the security vulnerability of existing key extraction mechanisms from the randomness of wireless channels, propose attacks to these key extraction mechanisms and design a new key extraction protocol to defend against these attacks. With the fast growth of high-performance computing, the security of traditional cryptographic secret key establishment mechanisms are seriously challenged by computing-intensive attacks. As an alternative, considerable efforts have been made to develop PHY-layer security measures in recent years, such as link-signature-based (LSB) secret key extraction techniques. Those mechanisms have been believed secure, based on the fundamental assumption that wireless signals received at two locations are uncorrelated when they were separated by more than half a wavelength apart. However, this assumption does not hold in some circumstances under latest observations, rendering LSB key extraction mechanisms vulnerable to attacks. To advance the understanding of, and study the security of PHY-layer security approaches, this research first analyzes the channel correlation between two wireless channels. With this analysis, a kind of effective statistical inference attacks (SIA) against the existing LSB secret key schemes are developed, whereby an adversary infers the signature of a target link. Consequently, the secret key extracted from that signature has been recovered by observing the surrounding links. Prior work assumes theoretical link-correlation models for the inference, in contrast, this study does not make any assumption on link correlation. Instead, machine learning (ML) methods are applied for link inference based on empirically measured link signatures. Moreover, a countermeasure against the statistical inference attacks is designed, called the Forward-backward Cooperative Key Extraction Protocol with Helpers (FBCH). In the FBCH, helpers (other trusted wireless nodes) are introduced to provide more randomness in the key extraction. Another objective of this research focuses on the design and performance analysis of wireless transmission beamforming and power allocation strategies in simultaneous wireless information and power transfer (SWIPT) networks. This research first studies the problem of power allocation to maximize the transmission energy efficiency (TEE), while satisfying the security requirements in a wireless relay network. Then the information-theoretic security performance of millimeter wave (mmWave) SWIPT ultra-dense network under a stochastic geometry framework is investigated. To date, the secrecty performance of the mmWave SWIPT networks is still not well studied. Given the characteristics of mmWave communication (e.g., blockage and reflection), this work investigates the problem of eavesdropping success probability (ESP) of eavesdroppers under two attack strategies in general mmWave SWIPT networks model, named independent eavesdropping and colluding eavesdropping, respectively. The theoretical analysis and simulations are provided to reveal the effects of various network parameters, e.g., time switching factor, mmWave frequencies, density of nodes, and etc., on the secrecy performance.