Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Computer networks have fallen easy prey to cyber attacks in the ever-evolving internet
services. Domain Name System (DNS) has also not remained untouched with these …

The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …

The development of the Internet has led to the complexity of network encrypted traffic.
Identifying the specific classes of network encryption traffic is an important part of …

Internet traffic classification plays a crucial role in Quality of Experience (QoE), Quality of
Services (QoS), intrusion detection, and traffic-trend analyses. While there is no theoretical …

The world of malware is shifting towards using encrypted traffic. While encryption improves
the privacy of users, it brings challenges in the fields of QoS, QoE, and cybersecurity. Recent …

Internet traffic classification has been intensively studied over the past decade due to its
importance for traffic engineering and cyber security. One of the best solutions to several …

Network-based intrusion detections become more difficult as Internet traffic is mostly
encrypted. This paper introduces a method to detect encrypted malicious traffic based on the …

We develop a novel time series feature extraction technique to address the encrypted
traffic/application classification problem. The proposed method consists of two main steps …

With the proliferation of IoT devices, researchers have developed a variety of IoT device
identification methods with the assistance of machine learning. Nevertheless, the security of …