[PDF][PDF] Security enhancement by identifying attacks using machine learning for 5G network
Need of security enhancement for 5G network has been increased in last decade. Data
transmitted over network need to be secure from external attacks. Thus there is need to …
transmitted over network need to be secure from external attacks. Thus there is need to …
Enhancing Security in 5G Networks: A Hybrid Machine Learning Approach for Attack Classification
HA Kholidy, A Berrouachedi… - 2023 20th ACS/IEEE …, 2023 - ieeexplore.ieee.org
Over the last decade, the demand for greater security in 5G networks has grown
significantly. Ensuring data security during transmission against external attacks has …
significantly. Ensuring data security during transmission against external attacks has …
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
Recent technological and architectural advancements in 5G networks have proven their
worth as the deployment has started over the world. Key performance elevating factor from …
worth as the deployment has started over the world. Key performance elevating factor from …
The novel system of attacks detection in 5G
The amount of traffic carried over wireless networks is growing rapidly and is being driven by
many factors. The telecommunications industry is undergoing a major transformation …
many factors. The telecommunications industry is undergoing a major transformation …
Defensive mechanism against DDoS attack based on feature selection and multi-classifier algorithms
Distributed denial of service attacks are common and very severe threat to various
computing technology like Cloud, IoT and Blockchain because of the disruption they cause …
computing technology like Cloud, IoT and Blockchain because of the disruption they cause …
Man-in-the-middle and denial of service attacks detection using machine learning algorithms
Network attacks (ie, man-in-the-middle (MTM) and denial of service (DoS) attacks) allow
several attackers to obtain and steal important data from physical connected devices in any …
several attackers to obtain and steal important data from physical connected devices in any …
[PDF][PDF] Machine Learning for Securing SDN based 5G network
HA Alamri, V Thayananthan, J Yazdani - Int. J. Comput. Appl, 2021 - researchgate.net
ABSTRACT The fifth-generation (5G) network supports many systems such as reliable
communication in potential applications that require maximum security. Advancement in …
communication in potential applications that require maximum security. Advancement in …
Comparative analysis of machine learning algorithms for intrusion detection
In this modern era, the network related applications, programs and services are growing
enormously but the network security issues also grow along with them. Keeping the network …
enormously but the network security issues also grow along with them. Keeping the network …
[HTML][HTML] Research of machine learning algorithms for the development of intrusion detection systems in 5G mobile networks and beyond
A Imanbayev, S Tynymbayev, R Odarchenko… - Sensors, 2022 - mdpi.com
The introduction of fifth generation mobile networks is underway all over the world which
makes many people think about the security of the network from any hacking. Over the past …
makes many people think about the security of the network from any hacking. Over the past …
Detection of network attacks using machine learning and deep learning models
KA Dhanya, S Vajipayajula, K Srinivasan… - Procedia Computer …, 2023 - Elsevier
Anomaly-based network intrusion detection systems are highly significant in detecting
network attacks. Robust machine learning and deep learning models for identifying network …
network attacks. Robust machine learning and deep learning models for identifying network …