Nowadays, the Internet network is becoming more and more complex due to an ever-
increasing number of network devices, various multimedia services and the prevalence of …

Nowadays, the Internet is becoming more and more complex due to an everincreasing
number of network devices, various multimedia services and a prevalence of encrypted …

In this chapter, the authors present a novel troubleshooting architecture in the context of
encrypted traffic and then present a proof of concept of this architecture in a software …

This chapter presents a quality of experience‐based application‐aware segment routing in
the software‐defined networking environment for encrypted traffic. This approach is …

Diagnosis demands a deep analysis of data to identify the root cause of an anomaly and still
mostly relies on human experts. The increase of Internet traffic combined with the arrival of …

With the rapid advancement of the Internet, the use of encrypted traffic has surged in order to
protect data during transmission. Simultaneously, network attacks have also begun to …

With a constantly increasing amount of encrypted network traffic and a new type of attack
(“zero-day”), network traffic anomaly detection shows significant benefits over traditionally …

This research focuses on network behavior analysis and provides a comprehensive flow-
based anomaly detection proposal, which is based on combined machine learning and …

This paper presents an approach that leverages classical machine learning techniques to
identify the tools from the packets sniffed, both for clear-text and encrypted traffic. This …

This paper presents an approach leveraging machine learning techniques to monitor
network traffic in search of vulnerability scanning activities. Indeed, attackers typically …