With the development of the Internet-of-Things (IoT), wireless network security has more and more attention paid to it. The Sybil attack is one of the famous wireless attacks that can forge wireless devices to steal information from clients. These forged devices may constantly attack target access points to crush the wireless network. In this paper, we propose a novel Sybil attack detection based on Channel State Information (CSI). This detection algorithm can tell whether the static devices are Sybil attackers by combining a self-adaptive multiple signal classification algorithm with the Received Signal Strength Indicator (RSSI). Moreover, we develop a novel tracing scheme to cluster the channel characteristics of mobile devices and detect dynamic attackers that change their channel characteristics in an error area. Finally, we experiment on mobile and commercial WiFi devices. Our algorithm can effectively distinguish the Sybil devices. The experimental results show that our Sybil attack detection system achieves high accuracy for both static and dynamic scenarios. Therefore, combining the phase and similarity of channel features, the multi-dimensional analysis of CSI can effectively detect Sybil nodes and improve the security of wireless networks.

With the rapid expansion of low Earth orbit (LEO) satellite constellations, ground user populations exhibit spatiotemporal heterogeneity in service demands. Traditional beam hopping (BH) strategies, where a single satellite illuminates one cell per time slot, suffer from throughput bottlenecks due to bandwidth and power constraints. This letter proposes a Dual-Satellite Beam Illuminating Strategy (DSBIS) to address this challenge. By leveraging angular isolation inherent in user-side phased array antennas, DSBIS selects satellite pairs within a cell’s visible range to enable full-frequency reuse while confining inter-beam interference below a 6% noise floor threshold. We establish geometric models to derive satellite selection criteria and validate feasibility using Starlink constellation parameters. Furthermore, we define hotspot cells and develop load-balancing algorithm as well as a BH pattern design based on DSBIS. Simulations demonstrate that DSBIS outperforms the benchmark algorithms in terms of load balancing, throughput, and delay, and enhances hotspot cell satisfaction rates.