[HTML][HTML] Anomaly detection in 6G networks using machine learning methods
While the cloudification of networks with a micro-services-oriented design is a well-known
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …
MLTs-ADCNs: Machine learning techniques for anomaly detection in communication networks
From a security perspective, the research of the jeopardized 6G wireless communications
and its expected ultra-densified ubiquitous wireless networks urge the development of a …
and its expected ultra-densified ubiquitous wireless networks urge the development of a …
A self-adaptive deep learning-based system for anomaly detection in 5G networks
The upcoming fifth-generation (5G) mobile technology, which includes advanced
communication features, is posing new challenges on cybersecurity defense systems …
communication features, is posing new challenges on cybersecurity defense systems …
On the performance of a deep learning-based anomaly detection system for 5G networks
Cyber security defense systems have evolved in the last years with innovative approaches
and new Intrusion Detection Systems (IDS) capable of identifying cyber-threats that had …
and new Intrusion Detection Systems (IDS) capable of identifying cyber-threats that had …
A review of various challenges in cybersecurity using artificial intelligence
H Chaudhary, A Detroja, P Prajapati… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Cybersecurity using Artificial Intelligence is a double-edged sword, it can improve security
substantially but it also creates a possibility of new forms of attack, which performed on …
substantially but it also creates a possibility of new forms of attack, which performed on …
Machine learning based anomaly detection for 5g networks
J Lam, R Abbas - arXiv preprint arXiv:2003.03474, 2020 - arxiv.org
Protecting the networks of tomorrow is set to be a challenging domain due to increasing
cyber security threats and widening attack surfaces created by the Internet of Things (IoT) …
cyber security threats and widening attack surfaces created by the Internet of Things (IoT) …
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 …
Intrusion detection scheme with dimensionality reduction in next generation networks
Due to millions of heterogeneous physical nodes, multiple-vendor and multi-tenant domains,
and technologies etc., 5G has greatly expanded the threat landscape. Particularly from the …
and technologies etc., 5G has greatly expanded the threat landscape. Particularly from the …
Mobile edge computing-based data-driven deep learning framework for anomaly detection
5G is anticipated to embed an artificial intelligence (AI)-empowerment to adroitly plan,
optimize and manage the highly complex network by leveraging data generated at different …
optimize and manage the highly complex network by leveraging data generated at different …