Personalized service degradation policies on OTT applications based on the consumption behavior of users

JS Rojas, AR Gallón, JC Corrales - … , Melbourne, VIC, Australia, July 2–5 …, 2018 - Springer
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) …

Smart user consumption profiling: Incremental learning-based OTT service degradation

JS Rojas, A Pekar, Á Rendón, JC Corrales - IEEE access, 2020 - ieeexplore.ieee.org
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 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 …

Using deep packet inspection data to examine subscribers on the network

M Nkongolo, JP van Deventer, SM Kasongo - Procedia Computer Science, 2022 - Elsevier
This article proposes the creation of the deep packet inspection (DPI) dataset to study
subscribers' behavior on the network, applying ensemble learning to this dataset, and …

An efficient dynamic service provisioning mechanism in fog computing environment: A learning automata approach

M Tekiyehband, M Ghobaei-Arani… - Expert Systems with …, 2022 - Elsevier
Recent advances in the Internet of Things (IoT) technology have contributed to growing the
number of IoT applications in various scenarios, eg, buildings, cities, healthcare, wearable …

Mapping QoE with resource estimation in IoT

M Aazam, KA Harras - 2019 IEEE 5th World Forum on Internet …, 2019 - ieeexplore.ieee.org
Technologies associated directly or indirectly with Internet of Things (IoT) are growing
rapidly, paving way for multimedia-based IoT services such as social IoT (SIoT), health …

A feature-ranking framework for IoT device classification

BA Desai, DM Divakaran, I Nevat… - … systems & networks …, 2019 - ieeexplore.ieee.org
IoT market is rapidly changing the cyber threat landscape. The challenges to security and
privacy arise not only because IoT devices are large in number, but also because IoT …

QoE modelling, measurement and prediction: A review

K Mitra, A Zaslavsky, C Åhlund - arXiv preprint arXiv:1410.6952, 2014 - arxiv.org
In mobile computing systems, users can access network services anywhere and anytime
using mobile devices such as tablets and smart phones. These devices connect to the …

Time-aware service ranking prediction in the internet of things environment

Y Huang, J Huang, B Cheng, S He, J Chen - Sensors, 2017 - mdpi.com
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 …

DDOS attack identification using machine learning techniques

S Peneti, E Hemalatha - 2021 International conference on …, 2021 - ieeexplore.ieee.org
One of the major problems that the world faces today is cyber attacks. Denial of Service
attacks have been one of most frequent attacks. Some of the mitigating techniques are …