The existing satellite-terrestrial integrated networks (STINs) suffer from security and privacy concerns due to the limited resources, poor attack resistance and high privacy requirements of satellite networks. Network Intrusion Detection System (NIDS) is intended to provide a high level of protection for modern network environments, but how to implement distributed NIDS on STINs has not been widely discussed. At the same time, satellite networks have always lacked real and effective security data sets as references. To solve these problems, we propose a distributed NIDS using Federal Learning (FL) in STIN to properly allocate resources in each domain to analyze and block malicious traffic, especially distributed denial-of-service (DDoS) attacks. Specifically, we first design a typical STIN topology, on the basis of which we collect and design security data sets adapted to satellite and terrestrial networks in STIN, respectively. To address the problem of poor attack resistance of satellite networks, we propose a satellite network topology optimization algorithm to reduce the difficulty in tracing malicious packets due to frequent link switching. In order to solve the problem of limited resources and high privacy requirements of satellite networks, we propose an algorithm for FL adaptation to STIN, and build a distributed NIDS using FL in STIN. Finally, we deploy the designed distributed NIDS in a prototype system and evaluate our proposed distributed NIDS with a large number of simulations of randomly generated malicious traffic. Related results demonstrate that the performance of our approach is better than traditional deep learning and intrusion detection methods in terms of malicious traffic recognition rate, packet loss rate, and CPU utilization. INDEX TERMS Satellite-terrestrial integrated network, distributed NIDS, security data set, federated learning.
Background/Aims: Borna disease virus 1 (BoDV-1) infection induces cognitive impairment in rodents. Emerging evidence has demonstrated that Chromatin remodeling through histone acetylation can regulate cognitive function. In the present study, we investigated the epigenetic regulation of chromatin that underlies BoDV-1-induced cognitive changes in the hippocampus. Methods: Immunofluorescence assay was applied to detect BoDV-1 infection in hippocampal neurons and Sprague-Dawley rats models. The histone acetylation levels both in vivo and vitro were assessed by western blots. The acetylation-regulated genes were identified by ChIP-seq and verified by RT-qPCR. Cognitive functions were evaluated with Morris Water Maze test. In addition, Golgi staining, and electrophysiology were used to study changes in synaptic structure and function. Results: BoDV-1 infection of hippocampal neurons significantly decreased H3K9 histone acetylation level and inhibited transcription of several synaptic genes, including postsynaptic density 95 (PSD95) and brain-derived neurotrophic factor (BDNF). Furthermore, BoDV-1 infection of Sprague Dawley rats disrupted synaptic plasticity and caused spatial memory impairment. These rats also exhibited dysregulated hippocampal H3K9 acetylation and decreased PSD95 and BDNF protein expression. Treatment with the HDAC inhibitor, suberanilohydroxamic acid (SAHA), attenuated the negative effects of BoDV-1. Conclusion: Our results demonstrate that regulation of H3K9 histone acetylation may play an important role in BoDV-1-induced memory impairment, whereas SAHA may confer protection against BoDV-1-induced cognitive impairments. This study finds important
As the continuous in-depth research of sixth generation (6G) technology, the satellite networks in the Space-Air-Ground Integrated Network (SAGIN) have received more and more attention. However, since satellite nodes have the characteristics of limited resources and dynamic link switching, it is important to effectively save energy in satellite networks. In this paper, we focus on how to make Software-Defined Satellite Networks (SDSN) more energy efficient. First, we propose an energy consumption model for satellite networks. Based on this model, we put forward an improved network topology generation algorithm, which can comprehensively consider the link switching energy consumption and the intersatellite link energy consumption. Then, considering the huge energy consumption caused by abnormal traffic in the satellite network, we propose a DDoS mitigation mechanism in the satellite network, aiming to reduce the extra energy consumption generated by processing abnormal traffic in the satellite node. Finally, through performance evaluation, the proposed network topology generation algorithm and DDoS attack mitigation strategy can effectively reduce network energy consumption.
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