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In today’s increasingly complex network environment, increasingly severe network attacks, and real-time dynamic changes in offensive and defensive scenarios, network security technology has also evolved from passive security to active security technology, and expanded from analyzing unilateral security elements to comprehensively analyzing overall network security. Aiming at the problem of inaccurate assessment results due to the lack of comprehensive analysis of threat information, protection information and environmental information in existing assessment methods, this paper proposes a defensive random game model. This model analyzes threat propagation and establishes a threat propagation access relationship network, and then establishes a random game model for the game process of threat action and protection strategy implementation to solve the mixed strategy Nash equilibrium. The model comprehensively analyzes the dynamic changes of the security situation elements, ignoring the short-term situation elements that will not change, such as topology structure, service information, etc., and mainly analyzes the dynamic changes of attack information, vulnerability information, and defense measures, and predicts from the host and network levels. The experimental verification shows that the prediction method in this paper can improve the prediction accuracy and is more in line with the offensive and defensive scenarios. &nbsp

Xin Liu,1,* Miao Tang,2,* Tian-Yi He,1 Shuang Zhao,1 Hui-Zhou Li,1 Zhao Li,1 Yue-Xian Guo,3 Xiu-Li Wang1 1Department of Anesthesiology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China; 2Department of General Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China; 3Department of Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiu-Li Wang, Department of Anesthesiology, The Third Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang, Hebei, 050051, People’s Republic of China, Tel +86-13313019968, Email wangxl311@126.comObjective: This study aimed to investigate the effect of resveratrol (Res) on paclitaxel (PTX)-induced cognitive impairment and elucidate the underlying molecular mechanisms.Methods: Morris Water Maze (MWM) test was used to evaluate the mice’s spatial learning and memory abilities. Western blotting was applied to detect protein expression of receptor-interacting protein (RIP3), mixed lineage kinase domain-like protein (MLKL), silencing information regulator 2 related enzyme 1 (SIRT1), peroxisome proliferator activated receptor coactivator-1 (PGC-1α), NADPH oxidase 2 (NOX2), NOX4, postsynaptic density zone 95 (PSD95), arginase-1 (Arg-1) and inducible nitric oxide synthase (iNOS). Immunofluorescence of RIP3, MLKL, Arg-1, Iba-1 and iNOS was conducted to observe the apoptosis of hippocampal cells and the polarization of microglia. qRT-PCR was performed to detect BDNF mRNA expressions. DHE staining was used to assess the level of oxidative stress response. Golgi-Cox staining and dendritic spine counting were applied to visualize synaptic structural plasticity. Postsynaptic density was performed by transmission electron microscope. ELISA was used to detect the contents of tumour necrosis factor alpha (TNF-α), IL-1β, IL-4, and IL-10.Results: PTX-induced cognitive impairment model was constructed after the application of PTX, represented as longer latency to platform and less platform crossing times over the whole period in PTX group. After Res treatment, the above indicators were reversed, indicating that cognitive function was improved. Moreover, Res reduced neuronal apoptosis and oxidative stress through SIRT1/PGC-1α pathway in mice, manifesting as down-regulated expression of RIP3, MLKL, NOX2 and NOX4. Meanwhile, Res increased the density of dendritic spines and the expression of PSD95 and BDNF, thereby ameliorating the PTX induced synaptic damage. Besides, M2 microglia was in the majority, eliciting the expression of anti-inflammatory cytokines IL-4 and IL-10 after Res treatment in PTX+Res group, while immunofluorescence images results demonstrated an decrease in the proportion of M2 microglia a following SIRT1 inhibitor EX-527.Conclusion: Res improves PTX-induced cognitive impairment in mice by activating SIRT1/PGC-1α pathways to regulate neuronal state and microglia cell polarization.Keywords: resveratrol, paclitaxel, SIRT1/PGC-1α, microglia, M2 polarization

Machine learning has been widely used for intelligent forwarding strategy in Vehicular Ad-Hoc Networks (VANET). However, machine learning has serious security and privacy issues. BRFD is a smart Receiver Forwarding Decision solution based on Bayesian theory for Named Data Vehicular Ad-Hoc Networks (NDN-VANET). In BRFD, every vehicle that received an interest packet is required to make a forwarding decision according to the collected network status information. And then decides whether it will forward the received interest packet or not. Therefore, the privacy information of a vehicle can be revealed to other vehicles during information exchange of the network status. In this paper, a Privacy-Aware intelligent forwarding solution PABRFD is proposed by integrating Homomorphic Encryption (HE) into the improved BRFD. In PABRFD, a secure Bayesian classifier is used to resolve the security and privacy issues of information exchanged among vehicle nodes. We informally prove that this new scheme can satisfy security requirements and we implement our solution based on HE standard libraries CKKS and BFV. The experimental results show that PABRFD can satisfy our expected performance requirements.