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Behzad Akbari

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Articles

CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features

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By Mehdi Seydali, Farshad Khunjush, Behzad Akbari, Javad Dogani
| IEEE
Traffic classification is a technique that involves analyzing the data received from a packet or flow to identify different applications or types of traffic [1]. Traffic classification plays a critical role in network management tasks such as quality of service guarantee, optimal utilization of network resources, anomaly detection, malware traffic detection, and network intrusion detection. Accurate traffic classification tools are necessary for these tasks [2], [3].
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