Secure communication in multigroup multicasting cell‐free massive MIMO networks with active spoofing attack

Abstract

The authors investigate the secure communication in multigroup multicasting cell-free massive MIMO systems in the presence of an active pilot spoofing attack. With the imperfect estimated local channels at access points, a distributed conjugate beamforming with normalised power constraint policy is exploited for downlink multicasting transmission. Closed-form expressions for the per-user achievable rate and information leakage to eavesdropper are derived, respectively. Numerical results are presented to verify the correctness of their analytical results and quantitatively analyse the impacts of eavesdropper's spoofing pilot power and a number of groups on the secrecy performance of the considered systems.

Sum‐rate maximization in uplink cell‐free massive multiinput multioutput system with jamming

“…Since cell‐free massive MIMO systems permit the APs and users to operate with low transmission power, the jamming attack in cell‐free massive MIMO systems should be taken seriously. However, there are only a few works focusing on the jamming aspects in cell‐free massive MIMO systems 13‐15 . In particular, Zhang et al 13 investigated the impact of pilot spoofing attack on a downlink multi‐group multi‐casting cell‐free massive MIMO system and demonstrated that the considered attack results in a significant secrecy rate reduction.…”

“…However, there are only a few works focusing on the jamming aspects in cell‐free massive MIMO systems 13‐15 . In particular, Zhang et al 13 investigated the impact of pilot spoofing attack on a downlink multi‐group multi‐casting cell‐free massive MIMO system and demonstrated that the considered attack results in a significant secrecy rate reduction. In addition, Hoang et al 14 proposed a downlink secrecy rate maximization power control algorithm to compensate for the rate loss caused by pilot spoofing attack.…”

“…Only very recently, Alageli et al 15 studied the power transfer aspect of cell‐free massive MIMO systems with a jammer. However, both 13‐15 only focused on pilot spoofing attack on a specific user, the jamming attack in data transmission phase has not been explored so far.…”

“…Rigorous closed‐form rate expressions for that system are derived, which enable us to figure out how much the jamming attack can deteriorate the achievable rate. In contrast to References 13‐15, we advocate sum‐rate as the main metric and propose an iterative power optimization algorithm to maximize the sum‐rate, which can compensate for the rate degradation caused by jamming. The weighted minimum mean square error (MMSE) methodology is introduced to obtain a local optimum in polynomial time, 16,17 which is a standard way for decomposing the sum‐rate maximization problem into several subproblems that can be determined sequentially.…”

Secrecy Analysis and Active Pilot Spoofing Attack Detection for Multigroup Multicasting Cell-Free Massive MIMO Systems

“…The authors in [20] investigated the secure transmission of the Cell-Free massive MIMO system under a pilot spoofing attack, which also provided optimal power allocation schemes to maximize the achievable data rate or achievable secrecy rate. Moreover, authors in [21] firstly studied the security aspect of multigroup multicasting Cell-Free massive MIMO systems and provided the closed-form expressions for the achievable secrecy rate. However, only uplink training was considered in this paper.…”