A survey on security and privacy of 5G technologies: Potential solutions, recent advancements, and future directions

R Khan, P Kumar, DNK Jayakody… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Security has become the primary concern in many telecommunications industries today as
risks can have high consequences. Especially, as the core and enable technologies will be …

A self-adaptive deep learning-based system for anomaly detection in 5G networks

LF Maimó, ÁLP Gómez, FJG Clemente, MG Pérez… - Ieee …, 2018 - ieeexplore.ieee.org
The upcoming fifth-generation (5G) mobile technology, which includes advanced
communication features, is posing new challenges on cybersecurity defense systems …

On energy efficient resource allocation in shared RANs: Survey and qualitative analysis

F Marzouk, JP Barraca… - … Communications Surveys & …, 2020 - ieeexplore.ieee.org
An expansion of services and unprecedented traffic growth is anticipated in future networks,
aligned with the adoption of the long-awaited Fifth Generation (5G) of mobile …

[HTML][HTML] Botnet attack detection using local global best bat algorithm for industrial internet of things

A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

[HTML][HTML] Real-time botnet detection on large network bandwidths using machine learning

J Velasco-Mata, V González-Castro, E Fidalgo… - Scientific Reports, 2023 - nature.com
Botnets are one of the most harmful cyberthreats, that can perform many types of
cyberattacks and cause billionaire losses to the global economy. Nowadays, vast amounts …

Hybrid deep-learning model to detect botnet attacks over internet of things environments

MY Alzahrani, AM Bamhdi - Soft Computing, 2022 - Springer
In recent years, the use of the internet of things (IoT) has increased dramatically, and
cybersecurity concerns have grown in tandem. Cybersecurity has become a major …

The potential short-and long-term disruptions and transformative impacts of 5G and beyond wireless networks: Lessons learnt from the development of a 5G testbed …

MN Patwary, SJ Nawaz, MA Rahman, SK Sharma… - Ieee …, 2020 - ieeexplore.ieee.org
The capacity and coverage requirements for 5 th generation (5G) and beyond wireless
connectivity will be significantly different from the predecessor networks. To meet these …

Dynamic management of a deep learning-based anomaly detection system for 5G networks

L Fernández Maimó, A Huertas Celdrán… - Journal of Ambient …, 2019 - Springer
Fog and mobile edge computing (MEC) will play a key role in the upcoming fifth generation
(5G) mobile networks to support decentralized applications, data analytics and management …

UMUDGA: A dataset for profiling DGA-based botnet

M Zago, MG Pérez, GM Pérez - Computers & Security, 2020 - Elsevier
Advanced botnet threats are natively deploying concealing techniques to prevent detection
and sinkholing. To tackle them, machine learning solutions have become a standard …