Machine learning-powered encrypted network traffic analysis: A comprehensive survey
Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …
and gleaning valuable information from network traffic. It can be applied in various fields …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
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 …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
Detection of doh tunnels using time-series classification of encrypted traffic
M MontazeriShatoori, L Davidson… - 2020 IEEE Intl Conf …, 2020 - ieeexplore.ieee.org
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 …
services. Domain Name System (DNS) has also not remained untouched with these …
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …
profiling information, other than being the workhorse for service differentiation or blocking …
: A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework
Y Zeng, H Gu, W Wei, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid evolution of network traffic diversity, the understanding of network traffic has
become more pivotal and more formidable. Previously, traffic classification and intrusion …
become more pivotal and more formidable. Previously, traffic classification and intrusion …
Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study
As people's demand for personal privacy and data security becomes a priority, encrypted
traffic has become mainstream in the cyber world. However, traffic encryption is also …
traffic has become mainstream in the cyber world. However, traffic encryption is also …
Intelligent task offloading in vehicular edge computing networks
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …
both artificial intelligence and wireless communications technologies. The vehicles get …
A survey of networking applications applying the software defined networking concept based on machine learning
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …
architectures for intellectualization, activation, and customization. Software-defined …
A survey of techniques for mobile service encrypted traffic classification using deep learning
The rapid adoption of mobile devices has dramatically changed the access to various
networking services and led to the explosion of mobile service traffic. Mobile service traffic …
networking services and led to the explosion of mobile service traffic. Mobile service traffic …