QoS‐aware stochastic spatial PLS model for analysing secrecy performance under eavesdropping and jamming

Abstract

Securing wireless communication, being inherently vulnerable to eavesdropping and jamming attacks, becomes more challenging in resource-constrained networks like Internet-of-Things. Towards this, physical layer security (PLS) has gained significant attention due to its low complexity. In this paper, we address the issue of random inter-node distances in secrecy analysis and develop a comprehensive quality-of-service (QoS) aware PLS framework for the analysis of both eavesdropping and jamming capabilities of attacker. The proposed solution covers spatially stochastic deployment of legitimate nodes and attacker. We characterise the secrecy outage performance against both attacks using inter-node distance based probabilistic distribution functions. The model takes into account the practical limits arising out of underlying QoS requirements, which include the maximum distance between legitimate users driven by transmit power and receiver sensitivity. A novel concept of eavesdropping zone is introduced, and relative impact of jamming power is investigated. Closed-form expressions for asymptotic secrecy outage probability are derived offering insights into design of optimal system parameters for desired security level against the attacker's capability of both attacks. Analytical framework, validated by numerical results, establishes that the proposed solution offers potentially accurate characterisation of the PLS performance and key design perspective from point-of-view of both legitimate user and attacker.

Interference and secrecy analysis based on randomly spacial model in clustered WSNs

“…KM-based [14,15,27,36,41] (i) Able to handle arbitrarily-shaped networks, disjoint networks and tired networks;…”

“…Just like clustered networks, in tiered cellular networks, [27] utilized distance distributions to analyze the outage probability for the macro and femto base stations in arbitrarily shaped cells. The authors in [36] presented a stochastic spatial PLS model for analyzing secrecy performance in wireless communication, with the consideration of a hybrid attacker not only eavesdropping but also jamming in the network.…”

“…Link capacity [15] Interference Successful transmission probability [23] analysis Outage probability [24][25][26][27] Coverage probability [28][29][30][31] Security Secrecy capacity/rate [32][33][34][35] analysis Secrecy outage probability [35,36] Probability of secure communication [37]…”