Secure 5G Positioning With Truth Discovery, Attack Detection, and Tracing

The fifth-generation (5G) cellular network is expected to provide submeter positioning accuracy without draining the battery of user equipment (UE). As a solution, ultradense (UDN) deployment and network-based were proposed. However, openness UDN vulnerability devices [e.g., access nodes (ANs)] make it easy for attackers poison such system. no existing work explores how overcome this issue. This article concentrates on jamming collusion attacks in Specifically, we design novel scheme that contains three functional modules erase influence these attacks. A truth discovery module applies clustering-based method aiming generate most approximate position value find out suspicious signals. Based neural models, further develop an attack detection tracing perceive attacked UE locate malicious or ANs. Through simulation, conduct extensive experiments illustrate effectiveness our scheme. result shows high with very simple which also implies potential proposed practical deployment.