A review of time-series anomaly detection techniques: A step to future perspectives
Anomaly detection is a significant problem that has been studied in a broader spectrum of
research areas due to its diverse applications in different domains. Despite the usage of …
research areas due to its diverse applications in different domains. Despite the usage of …
Machine learning-based anomaly detection in NFV: A comprehensive survey
Network function virtualization (NFV) is a rapidly growing technology that enables the
virtualization of traditional network hardware components, offering benefits such as cost …
virtualization of traditional network hardware components, offering benefits such as cost …
[PDF][PDF] Using Imbalanced Triangle Synthetic Data for Machine Learning Anomaly Detection.
The extreme imbalanced data problem is the core issue in anomaly detection. The amount
of abnormal data is so small that we cannot get adequate information to analyze it. The …
of abnormal data is so small that we cannot get adequate information to analyze it. The …
Anomaly detection in cloud environment using artificial intelligence techniques
L Girish, SKN Rao - Computing, 2023 - Springer
Now days the usage of cloud environment is rapidly increasing in all the fields to run
applications in virtual machines instead of physical hardware based machine. This …
applications in virtual machines instead of physical hardware based machine. This …
An AI-empowered framework for cross-layer softwarized infrastructure state assessment
Network softwarization technologies challenge legacy fault management systems.
Coordination and dependency among different novel software components for orchestration …
Coordination and dependency among different novel software components for orchestration …
Unified and standalone monitoring module for NFV/SDN infrastructures
In the ongoing process of telecommunications systems softwarization, a key role is played
by Virtual Network Functions deployed in Cloud environments and interconnected through …
by Virtual Network Functions deployed in Cloud environments and interconnected through …
[图书][B] Artificial Neural Networks and Machine Learning–ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018 …
This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th
International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes …
International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes …
Fault Diagnosis in the Network Function Virtualization: A Survey, Taxonomy and Future Directions
J Li, X Qi, J Li, Z Su, Y Su, L Liu - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The widespread application of ultra-dense and multivariate Internet of Things (IoT) benefits
from Network Function Virtualization (NFV) that provides flexible frameworks and effective …
from Network Function Virtualization (NFV) that provides flexible frameworks and effective …
Matrix differential decomposition-based anomaly detection and localization in NFV networks
J Chen, M Chen, X Wei, B Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) is a promising network paradigm that enables the
design and implementation of novel network services with lower cost, increased agility, and …
design and implementation of novel network services with lower cost, increased agility, and …
Performance anomaly detection models of virtual machines for network function virtualization infrastructure with machine learning
Abstract Networking Function Virtualization (NFV) technology has become a new solution for
running network applications. It proposes a new paradigm for network function management …
running network applications. It proposes a new paradigm for network function management …