Smart user consumption profiling: Incremental learning-based OTT service degradation
Data caps and service degradation are techniques used to control subscribers' data
consumption. These techniques have emerged mainly due to the growing demands placed …
consumption. These techniques have emerged mainly due to the growing demands placed …
Consumption behavior analysis of over the top services: Incremental learning or traditional methods?
JS Rojas, A Rendon, JC Corrales - IEEE Access, 2019 - ieeexplore.ieee.org
Network monitoring and analysis of consumption behavior are important aspects for network
operators. The information obtained about consumption trends allows to offer new data …
operators. The information obtained about consumption trends allows to offer new data …
Personalized service degradation policies on OTT applications based on the consumption behavior of users
The proliferation of IP-based telecommunication networks has facilitated the decoupling of
application and network layers. This kind of systems allows that Over the Top (OTT) …
application and network layers. This kind of systems allows that Over the Top (OTT) …
Benchmarking class incremental learning in deep learning traffic classification
Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing
popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness …
popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness …
Time-aware service ranking prediction in the internet of things environment
With the rapid development of the Internet of things (IoT), building IoT systems with high
quality of service (QoS) has become an urgent requirement in both academia and industry …
quality of service (QoS) has become an urgent requirement in both academia and industry …
QoE inference without application control
Network quality-of-service (QoS) does not always directly translate to users' quality-of-
experience (QoE), eg, changes in a video streaming app's frame rate in reaction to changes …
experience (QoE), eg, changes in a video streaming app's frame rate in reaction to changes …
AI/ML Service Enablers and Model Maintenance for Beyond 5G Networks
Artificial Intelligence and Machine Learning (AI/ML) can transform mobile communications,
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
[HTML][HTML] Fine-grained TLS services classification with reject option
J Luxemburk, T Čejka - Computer Networks, 2023 - Elsevier
The recent success and proliferation of machine learning and deep learning have provided
powerful tools, which are also utilized for encrypted traffic analysis, classification, and threat …
powerful tools, which are also utilized for encrypted traffic analysis, classification, and threat …
Adaptive retraining of ai/ml model for beyond 5g networks: A predictive approach
Beyond fifth-generation (B5G) networks (namely 6G) aim to support high data rates, low-
latency applications, and massive machine communications. Integrating Artificial …
latency applications, and massive machine communications. Integrating Artificial …
Detecting and localizing end-to-end performance degradation for cellular data services
Nowadays mobile device (eg, smartphone) users not only have a high expectation on the
availability of the cellular data service, but also increasingly depend on the high end-to-end …
availability of the cellular data service, but also increasingly depend on the high end-to-end …