Satyanarayana Vuppala

• A continuing trend of miniaturization and a growing demand for information are two major responsible drivers of new communication systems, which therefore increasingly rely on embedded technology, as illustrated by the Internet of Things and Cyber-Physical Systems. The embedded nature of future wireless networks implies not only power-limitation of devices, but also a likelihood that a greater share of trac will include highly sensitive and personal information, which together call for new wireless security mechanisms that do not rely on the overhead-heavy and coordination-intense cryptographic protocols of today. Physical layer security is an upcoming research area that makes use of properties of the physical layer and seeks the possibility of achieving perfect secrecy in the wireless channel. In this thesis, we study the impact of topology and interference onto the physical layer wireless security of random networks. In particular, we derive closed-form expressions for the secrecy rate distribution, average secrecy rate, secrecy outage probability, secrecy transmission capacity of Poisson Point Process (PPP) based random networks under various fading channels (Rayleigh, Nakagami-m, Shadowing), and colluding eavesdroppers with or without considering correlated channels. We also analyse the impact of interference on the secrecy metrics of corresponding random networks. Specifically, we study the aggregation of interference in random networks and its impact on secrecy, by utilizing results of PPP. At the end, we perform an analysis of the secrecy outage of random networks under the Matern Hard-core Point Process model, with the objective of shedding light on the security limitations/capabilities inherently encountered in cellular systems.