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Abstract:In recent years, following the development of space commutation, space information has become a critical part in space information network and will play a very significant role in winning future information war. A space information network with characteristics such as complex structure, special communication requirement, long delay, dependence on remote maintenance, and fragile ecological environment contains enormous security risks. Therefore, ensuring space information network safety is important. Intrusion-detection model as an important part of a network security system becomes a hot issue in space network security. We propose an intrusion-detection method that integrates anomaly with misuse, which supports automatic updates from a remote ground, and design a distributed intrusion-detection model of space information network.

Abstract. We implement an assisted positioning system, based on BLE and six-axis accelerometer that includes an accelerometer and a gyroscope. The system uses two on-chip CC254x with BLE features for wireless transmission and MATLAB for the data processing in the cloud. After quadratic integral of acceleration data, we get displacement of the moving object. After integral of angular acceleration data, we get rotation angle of the moving object. According to the principle of different coordinate system conversion, combining the displacement and rotation angle, we get the trajectory of the moving object. When applied to GPS signal blocked areas, the system can implement assisted positioning.

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In this article, an improved malicious code intrusion detection method is presented based on the target tree for space information network, so as to adapt to the characteristics of space information network and the security requirements. The satellite system could realize the quick determination of the malicious code attacks formed by joint cooperation behaviors step by step, with the help of attack roadmap analysis at ground and malicious code behavior analyzing process at satellite. The simulation results show that the proposed method has the advantages of high detection rate, low satellite resource consumption, low latency, and in-depth analysis to those malicious code behaviors. It is demonstrated that the proposed detection method of malicious code is suitable for the space information network.