ICLSTM: Encrypted Traffic Service Identification Based on Inception-LSTM Neural Network
نویسندگان
چکیده
منابع مشابه
Classification of encrypted traffic for applications based on statistical features
Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
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Short-term traffic forecasting based on deep learning methods, especially long short-term memory (LSTM) neural networks, has received much attention in recent years. However, the potential of deep learning methods in traffic forecasting has not yet fully been exploited in terms of the depth of the model architecture, the spatial scale of the prediction area, and the predictive power of spatial-...
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ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: 2073-8994
DOI: 10.3390/sym13061080