Network traffic classification and recognition is an important foundation for network detection and management and one of the key technologies for maintaining cyberspace security. With the rapid development of the Internet, network applications and protocols emerge in an endless stream, making the types of network traffic more complex and diverse, which poses certain obstacles to network traffic management. The results show that our proposed model can distinguish whether the unknown network traffic uses Virtual Private Network (VPN) with an accuracy of 98% and can accurately identify the specific traffic (chats, audio, or file) of Facebook and Skype applications with an accuracy of 92.89%. In order to verify the effectiveness of the CLD-Net model, we use the ISCX public dataset to conduct experiments. Finally, through feature reduction, the high-dimensional features learned by the neural network are converted into 8 dimensions to distinguish 8 different classes of network encrypted traffic. We use the ability of Convolutional Neural Network (CNN) to distinguish image classes, learn and classify the grayscale images that the raw flow has been preprocessed into, and then use the effectiveness of Long Short-Term Memory (LSTM) network on time series data to further enhance the model’s ability to classify. By segmenting and recombining the packet payload of the raw flow, it can automatically extract the features related to the packet payload, and by changing the expression of the packet interval, it integrates the packet interval information into the model. This paper proposes the CLD-Net model, which can effectively distinguish network encrypted traffic. As an end-to-end model, deep neural networks can minimize human intervention. The traditional traffic classification based on machine learning largely requires expert experience. Identifying the specific classes of network encryption traffic is an important part of maintaining information security. 37:75–81 (1989).The development of the Internet has led to the complexity of network encrypted traffic. Pariza, Newly Recognized Anticarcinogenic Fatty Acids: Identification and Quantification in Natural and Processed Cheese, J. Hopkins, C.Y., Fatty Acids with Conjugated Unsaturation, Topics in Lipid Chemistry, edited by F.D. Vouros, Gas Chromatography-Mass Spectrometry of Conjugated Dienes by Derivatization with 4-Methyl-1,2,4-Triazoline-3,5-Dione, J. Pfeilsticker, Electron Impact Mass Spectra of Some Conjugated Diene and Triene C 18 Fatty Acids, J. de Buyck, An Efficient Countercurrent Distribution Method for the Large-Scale Isolation of Dimorphecolic Acid Methyl Ester, Chem. Scrimgeour, Synthesis, Characterisation, and Transformation of a Lipid Cyclic Peroxide, J. Christie, Structural Analysis of Fatty Acids by Mass Spectrometry of Picolinyl Esters and Dimethyl-oxazoline Derivatives, Trends Anal. 2-Alkenyl-4,4-Dimethyloxalines as Derivatives for the Double Bond Location of Long-Chain Olefinic Acids, Biomed. Huang, Chemical Modification in Mass Spectrometry IV. Sprecher, 2-Alkenyl-4,4-Dimethyloxazolines Derivatives for the Structural Elucidation of Isomeric Unsaturated Fatty Acids, Lipids 28:561–564 (1993). Richli, Localisation of Double Bond in Polyunsaturated Fatty Acids by Gas Chromatography-Mass Spectrometry After 4,4-Dimethyloxzoline Derivatisation, J. Said, Methyl 12-Mesyloxyoleate as a Source of Cyclopropane Esters and of Conjugated Octadecadienoates, Chem. Lombardi, Liquid Chromatographic-Mass Spectrometric Analysis of Conjugated Diene Fatty Acids in a Partially Hydrogenated Fat, J. Dormandy, The Nature of Diene Conjugation in Human Serum. Pariza, Conjugated Linoleic Acid (9,11- and 10,12-Octadecadienoic Acid) Is Produced in Conventional But Not Germ-Free Rats Fed Linoleic Acid. Tove, Biohydrogenation of Unsaturated Fatty Acids: Purification and Properties of cis-9, trans-11 Octadecadienoate Reductase, Ibid.:3643–3649 (1982).Ĭhin, S.F., J.M. Tove, Biohydrogenation of Unsaturated Fatty Acids, J. Pariza, Conjugated Linoleic Acid and Atherosclerosis in Rabbits, Atherosclerosis 108:19–25 (1994). Huth, Effect of Feeding Diets Enriched in Conjugated Linoleic Acid on Lipoproteins and Aortic Atherogenesis in Hamsters, Circulation 88:Suppl. A Powerful Anticarcinogen from Animal Fat Sources, Cancer Suppl. Pariza, Mammary Cancer Prevention by Conjugated Dienoic Derivatives of Linoleic Acid, Ibid.:6118–6124 (1991). Pariza, Inhibition of Benzo(a)pyrene-Induced Mouse Forestomach Neoplasia by Conjugated Dienoic Derivatives of Linoleic Acid, Cancer Res.
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