Network attack detection and mitigation require packet collection,pre-processing,feature analysis,classification,and post-processing.Models for these tasks sometimes become complex or inefficient when applied to real-...Network attack detection and mitigation require packet collection,pre-processing,feature analysis,classification,and post-processing.Models for these tasks sometimes become complex or inefficient when applied to real-time data samples.To mitigate hybrid assaults,this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature extraction.In this paper,we provide a novel multidomain feature extraction method using Fourier,Z,Laplace,Discrete Cosine Transform(DCT),1D Haar Wavelet,Gabor,and Convolutional Operations.Evolutionary method dragon fly optimisation reduces feature dimensionality and improves feature selection accuracy.The selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns,detect anomalies,and warn network administrators.The suggested model tackles the inadequacies of existing approaches to hybrid threats,which are growing more common and challenge conventional security measures.Our model integrates multidomain feature extraction,deep learning pattern analysis,and the forensic layer to improve intrusion detection and prevention systems.In diverse attack scenarios,our technique has 3.5% higher accuracy,4.3% higher precision,8.5% higher recall,and 2.9% lower delay than previous models.展开更多
New Rules to Label Al-generated Content to Increase Transparency,A new directive aimed at the AI sector has been released recently to increase transparency and user safety by enforcing mandatory labeling of Al-generat...New Rules to Label Al-generated Content to Increase Transparency,A new directive aimed at the AI sector has been released recently to increase transparency and user safety by enforcing mandatory labeling of Al-generated content.China's National Internet Information Office(NIIO),the Ministry of Industry and Information Technology and public security and broadcast agencies issued the finalized rules on March 14,which will come into force from September 1.The notice,Measures for the Labeling of AI-Generated Content Identification,comes in response to the spread of false information,Al-related fraud and the misuse of technologies which are becoming rife amid the fast development of AI,the NIIO said.展开更多
文摘Network attack detection and mitigation require packet collection,pre-processing,feature analysis,classification,and post-processing.Models for these tasks sometimes become complex or inefficient when applied to real-time data samples.To mitigate hybrid assaults,this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature extraction.In this paper,we provide a novel multidomain feature extraction method using Fourier,Z,Laplace,Discrete Cosine Transform(DCT),1D Haar Wavelet,Gabor,and Convolutional Operations.Evolutionary method dragon fly optimisation reduces feature dimensionality and improves feature selection accuracy.The selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns,detect anomalies,and warn network administrators.The suggested model tackles the inadequacies of existing approaches to hybrid threats,which are growing more common and challenge conventional security measures.Our model integrates multidomain feature extraction,deep learning pattern analysis,and the forensic layer to improve intrusion detection and prevention systems.In diverse attack scenarios,our technique has 3.5% higher accuracy,4.3% higher precision,8.5% higher recall,and 2.9% lower delay than previous models.
文摘New Rules to Label Al-generated Content to Increase Transparency,A new directive aimed at the AI sector has been released recently to increase transparency and user safety by enforcing mandatory labeling of Al-generated content.China's National Internet Information Office(NIIO),the Ministry of Industry and Information Technology and public security and broadcast agencies issued the finalized rules on March 14,which will come into force from September 1.The notice,Measures for the Labeling of AI-Generated Content Identification,comes in response to the spread of false information,Al-related fraud and the misuse of technologies which are becoming rife amid the fast development of AI,the NIIO said.
