In this paper, we investigate secure unmanned aerial vehicle (UAV) communication in the presence of multiple UAV adaptive eavesdroppers (AEs), where each AE can conduct eavesdropping or jamming adaptively by learning others’ actions for degrading the secrecy rate more seriously. The one-leader and multi-follower Stackelberg game is adopted to analyze the mutual interference among multiple AEs, and the optimal transmit powers are proven to exist under the existing conditions. Following that, a mixed-strategy Stackelberg Equilibrium based on finite and discretized power set is also derived and a hierarchical Q-learning based power allocation algorithm (HQLA) is proposed to obtain the optimal power allocation strategy of the transmitter. Numerical results show that secrecy performance can be degraded severely by multiple AEs and verify the availability of the optimal power allocation strategy. Finally, the effect of the eavesdropping cost on the AE’s attack mode strategies is also revealed.

SUMMARY: Ion mobility-mass spectrometry (IM-MS) has showed great application potential for lipidomics. However, IM-MS based lipidomics is significantly restricted by the available software for lipid structural identification. Here, we developed a software tool, namely, LipidIMMS Analyzer, to support the accurate identification of lipids in IM-MS. For the first time, the software incorporates a large-scale database covering over 260 000 lipids and four-dimensional structural information for each lipid [i.e. m/z, retention time (RT), collision cross-section (CCS) and MS/MS spectra]. Therefore, multi-dimensional information can be readily integrated to support lipid identifications, and significantly improve the coverage and confidence of identification. Currently, the software supports different IM-MS instruments and data acquisition approaches. AVAILABILITY AND IMPLEMENTATION: The software is freely available at: http://imms.zhulab.cn/LipidIMMS/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

In this paper, we consider an AF relaying system without direct channel between the source node and the destination node, and use superimposed pilots to estimate the overall channel state information (CSI). Considering the superimposed pilot-interference (SPI) at the destination node is useful for channel estimation and data detection because the pilots and the data undergo the same channel fading due to superimposed sending, we utilize SPI to estimate CSI and detect the sending data. Simulation results show that our proposed method improves the spectral efficiency and obtain the satisfactory performance because of using superimposed pilots instead of traditional pilots.