In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and applied.Among them,Intrusion ...In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and applied.Among them,Intrusion Detection System(IDS)has been proven to be stable and efficient.However,traditional intrusion detection methods have shortcomings such as lowdetection accuracy and inability to effectively identifymalicious attacks.To address the above problems,this paper fully considers the superiority of deep learning models in processing highdimensional data,and reasonable data type conversion methods can extract deep features and detect classification using advanced computer vision techniques to improve classification accuracy.TheMarkov TransformField(MTF)method is used to convert 1Dnetwork traffic data into 2D images,and then the converted 2D images are filtered by UnsharpMasking to enhance the image details by sharpening;to further improve the accuracy of data classification and detection,unlike using the existing high-performance baseline image classification models,a soft-voting integrated model,which integrates three deep learning models,MobileNet,VGGNet and ResNet,to finally obtain an effective IoT intrusion detection architecture:the MUS model.Four types of experiments are conducted on the publicly available intrusion detection dataset CICIDS2018 and the IoT network traffic dataset N_BaIoT,and the results demonstrate that the accuracy of attack traffic detection is greatly improved,which is not only applicable to the IoT intrusion detection environment,but also to different types of attacks and different network environments,which confirms the effectiveness of the work done.展开更多
Objective: to explore the effect of cognitive behavior intervention on training injury patients and its influence on psychological stress state. Methods: in the research project recorded in this paper, a total of 200 ...Objective: to explore the effect of cognitive behavior intervention on training injury patients and its influence on psychological stress state. Methods: in the research project recorded in this paper, a total of 200 patients were included as subjects, all of whom were training injury patients treated by our unit. The earliest time to visit our unit was June 2019, and the latest time to visit our hospital was October 2021. After treatment, all patients received symptomatic treatment, and targeted rehabilitation intervention was carried out for them. According to the different rehabilitation intervention measures they received, they were classified into two different groups. Patients who carried out rehabilitation intervention with conventional contents were assigned to the control group (100 cases in total), and patients who carried out cognitive behavioral intervention on the basis of conventional contents were assigned to the study group (100 cases in total). EPRS (Early Psychological Evaluation Scale) was used to compare the psychological stress state of the two groups of patients before and after the intervention, and the quality of life and the satisfaction of the two groups of patients before and after the rehabilitation intervention. Results: before intervention, there was no difference in EPRS index scores between the two groups (P > 0.05), after intervention, all indexes were reduced, and the study group was lower than the control group, that is, the study group patients' psychological stress state improved more ideal, the difference between the groups was significant (P < 0.05);Compared with no difference in quality of life between the two groups before intervention (P > 0.05), after the completion of intervention, all indicators of quality of life in the two groups were improved, and the inter-group comparison suggested that the improvement effect of the study group was better than the control group, the difference between the two groups was significant (P < 0.05). The satisfaction of study group was higher than that of control group, and the difference between groups was significant (P < 0.05). Conclusion: for rehabilitation intervention of patients with training injuries, the implementation of cognitive behavioral intervention can not only effectively relieve the psychological stress response of patients, but also effectively improve the quality of their future military training and life, which has high utilization value and reference value, so it can be vigorously promoted to the clinical scope。展开更多
基金support and help from the People’s Armed Police Force of China Engineering University,College of Information Engineering Subject Group,which funded this work under the All-Army Military Theory Research Project,Armed Police Force Military Theory Research Project(WJJY22JL0498).
文摘In the face of the effective popularity of the Internet of Things(IoT),but the frequent occurrence of cybersecurity incidents,various cybersecurity protection means have been proposed and applied.Among them,Intrusion Detection System(IDS)has been proven to be stable and efficient.However,traditional intrusion detection methods have shortcomings such as lowdetection accuracy and inability to effectively identifymalicious attacks.To address the above problems,this paper fully considers the superiority of deep learning models in processing highdimensional data,and reasonable data type conversion methods can extract deep features and detect classification using advanced computer vision techniques to improve classification accuracy.TheMarkov TransformField(MTF)method is used to convert 1Dnetwork traffic data into 2D images,and then the converted 2D images are filtered by UnsharpMasking to enhance the image details by sharpening;to further improve the accuracy of data classification and detection,unlike using the existing high-performance baseline image classification models,a soft-voting integrated model,which integrates three deep learning models,MobileNet,VGGNet and ResNet,to finally obtain an effective IoT intrusion detection architecture:the MUS model.Four types of experiments are conducted on the publicly available intrusion detection dataset CICIDS2018 and the IoT network traffic dataset N_BaIoT,and the results demonstrate that the accuracy of attack traffic detection is greatly improved,which is not only applicable to the IoT intrusion detection environment,but also to different types of attacks and different network environments,which confirms the effectiveness of the work done.
文摘Objective: to explore the effect of cognitive behavior intervention on training injury patients and its influence on psychological stress state. Methods: in the research project recorded in this paper, a total of 200 patients were included as subjects, all of whom were training injury patients treated by our unit. The earliest time to visit our unit was June 2019, and the latest time to visit our hospital was October 2021. After treatment, all patients received symptomatic treatment, and targeted rehabilitation intervention was carried out for them. According to the different rehabilitation intervention measures they received, they were classified into two different groups. Patients who carried out rehabilitation intervention with conventional contents were assigned to the control group (100 cases in total), and patients who carried out cognitive behavioral intervention on the basis of conventional contents were assigned to the study group (100 cases in total). EPRS (Early Psychological Evaluation Scale) was used to compare the psychological stress state of the two groups of patients before and after the intervention, and the quality of life and the satisfaction of the two groups of patients before and after the rehabilitation intervention. Results: before intervention, there was no difference in EPRS index scores between the two groups (P > 0.05), after intervention, all indexes were reduced, and the study group was lower than the control group, that is, the study group patients' psychological stress state improved more ideal, the difference between the groups was significant (P < 0.05);Compared with no difference in quality of life between the two groups before intervention (P > 0.05), after the completion of intervention, all indicators of quality of life in the two groups were improved, and the inter-group comparison suggested that the improvement effect of the study group was better than the control group, the difference between the two groups was significant (P < 0.05). The satisfaction of study group was higher than that of control group, and the difference between groups was significant (P < 0.05). Conclusion: for rehabilitation intervention of patients with training injuries, the implementation of cognitive behavioral intervention can not only effectively relieve the psychological stress response of patients, but also effectively improve the quality of their future military training and life, which has high utilization value and reference value, so it can be vigorously promoted to the clinical scope。
