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

2026-03-18

AI Summary

This study addresses the physical-layer security of short-packet uplink transmissions in large-scale Internet-of-Things (IoT) networks under the presence of randomly distributed eavesdroppers and finite blocklength constraints. By integrating stochastic geometry, finite-blocklength information theory, and secrecy probability analysis, this work presents the first analytical framework to model and characterize how the spatial uncertainty of eavesdroppers affects secure short-packet communication. Through rigorous theoretical derivation and numerical validation, closed-form expressions are derived for key performance metrics—including secrecy success probability, secrecy outage probability, and secrecy throughput—thereby systematically revealing the impact of critical system parameters such as device density, code length, and channel fading on security performance. The results provide foundational insights for designing secure IoT systems operating under stringent latency and reliability requirements.

Technology Category

• Reasoning under Uncertainty: Stochastic Optimization
• Planning, Routing, and Scheduling: Scheduling under Uncertainty
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for incomplete, noisy, or partially observed Web-related graphs

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.

Problem

• Physical Layer Security
• Finite Blocklength
• Massive IoT
• Randomly Located Eavesdroppers
• Stochastic Geometry

Innovation

• Physical Layer Security
• Finite Blocklength
• Massive IoT
• Stochastic Geometry
• Secrecy Outage Probability