Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

Network traffic classification has become more important with the rapid growth of Internet
and online applications. Numerous studies have been done on this topic which have led to …

In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …

This survey paper describes the significant literature survey of Sustainable Smart Cities
(SSC), Machine Learning (ML), Data Mining (DM), datasets, feature extraction and selection …

With the current massive amount of traffic that is going through the internet, internet service
providers (ISPs) and networking service providers (NSPs) are looking for various ways to …

A smart home network will support various smart devices and applications, eg, home
automation devices, E-health devices, regular computing devices, and so on. Most devices …

Traffic classification technology has increased in relevance this decade, as it is now used in
the definition and implementation of mechanisms for service differentiation, network design …

The research community has begun looking for IP traffic classification techniques that do not
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …

Internet traffic classification has been the subject of intensive study since the birth of the
Internet itself. Indeed, the evolution of approaches for traffic classification can be associated …