@inproceedings{06595e99eaaf446fa87b772d671b14f9,
title = "Performance Analysis of IoT Physical layer Security Using 3-D Stochastic Geometry",
abstract = "The internet of things (IoT) is becoming part of the infrastructure supporting various services in every day's life. Due to the complex nature of IoT systems with heterogeneous devices, the needed security and privacy aspects are mostly ignored in the initial system design. One of the proposed solutions to address the security threats from the physical layer perspective is physical-layer security (PLS). We propose the use of 3-D stochastic geometry to accurately model IoT systems in a realistic scenarios, where sensors, access points, and eavesdroppers are randomly located in a 3-D space. We use our model with realistic system deployment parameters to conduct rigorous performance analysis for critical security metrics, such as the successful transmission probability (STP) and the secrecy outage probability (SOP) in different potential IoT scenarios. We finally utilize simulation to validate the theoretical analysis.",
keywords = "Internet of Things (IoT), Physical layer security (PLS), Privacy, Security, Stochastic Geometry",
author = "Hela Chamkhia and Abdullah Al-Ali and Amr Mohamed and Mohsen Guizani and Aiman Erbad and Ahmed Refaey",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 ; Conference date: 16-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
doi = "10.1109/CSCI51800.2020.00191",
language = "English",
series = "Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1022--1027",
booktitle = "Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020",
address = "United States",
}