Physical Layer Security in Finite Blocklength Massive IoT with Randomly Located Eavesdroppers

TL;DR

This paper evaluates the physical layer security of dense IoT networks with finite blocklength constraints, considering randomly located eavesdroppers and stochastic interference, providing analytical expressions for key security metrics.

Contribution

It introduces a stochastic geometry-based model for secure IoT communications under finite blocklength, deriving new analytical expressions for security performance metrics.

Findings

Secure success probability decreases with higher eavesdropper density.

Secrecy outage probability is influenced by interference and fading conditions.

Secrecy throughput varies with network density and channel parameters.

Abstract

This paper analyzes the physical layer security performance of massive uplink Internet of Things (IoT) networks operating under the finite blocklength (FBL) regime. IoT devices and base stations (BS) are modeled using a stochastic geometry approach, while an eavesdropper is placed at a random location around the transmitting device. This system model captures security risks common in dense IoT deployments. Analytical expressions for the secure success probability, secrecy outage probability and secrecy throughput are derived to characterize how stochastic interference, fading and eavesdropper spatial uncertainty interact with FBL constraints in short packet uplink transmissions. Numerical results illustrate key system behavior under different network and channel conditions.