A systematic review on anomaly detection for cloud computing environments
T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …
the field of cloud computing in several different ways: from the detection of various types of …
Reconstruction-based anomaly detection for the cloud: A comparison on the yahoo! webscope s5 dataset
T Hagemann, K Katsarou - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
The detection of anomalies in cloud metrics is an important way to identify suspicious data
instances that indicate a system problem such as hardware failures, performance …
instances that indicate a system problem such as hardware failures, performance …
[PDF][PDF] A Comparative Study of Deep Neural Networks and Support Vector Machines for Unsupervised Anomaly Detection in Cloud Computing Environments
T Arjunan - International Journal for Research in Applied Science …, 2024 - researchgate.net
Cloud computing is now ubiquitous and provides convenient access to computing resources
on demand. Cloud environments are complex and prone to faults, which can have a …
on demand. Cloud environments are complex and prone to faults, which can have a …
[PDF][PDF] Hybrid Multi-Objective Deep Learning Model for Anomaly Detection in Cloud Computing Environment
RR Palle - International Journal of Scientific Research in Science …, 2015 - academia.edu
Cloud computing environments play a pivotal role in the IT landscape, seamlessly integrated
into the fabric of organizations and individuals' daily activities. Despite the myriad …
into the fabric of organizations and individuals' daily activities. Despite the myriad …
AI-Enhanced Cybersecurity: Machine Learning for Anomaly Detection in Cloud Computing
P Thapa, T Arjunan - Quarterly Journal of Emerging Technologies and …, 2024 - vectoral.org
Cloud computing has become ubiquitous, providing convenient on-demand access to
computing resources. However, security remains a major concern, as cloud environments …
computing resources. However, security remains a major concern, as cloud environments …
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment
The Internet of Things (IoT) is a system that connects physical computing devices, sensors,
software, and other technologies. Data can be collected, transferred, and exchanged with …
software, and other technologies. Data can be collected, transferred, and exchanged with …
Anomaly detection: A survey
Anomaly detection (AD) is considered one of the important research areas that have a
diverse range of application domains. Some of the anomaly detection techniques presented …
diverse range of application domains. Some of the anomaly detection techniques presented …
Anomaly detection based on deep learning: Insights and opportunities
H Zhang, R Xie, K Li, W Huang… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
With the advent of the 5G/6G and Big Data, the network has become indispensable in
people's lives, and Cyber security has turned a relevant topic that people pay attention to …
people's lives, and Cyber security has turned a relevant topic that people pay attention to …
Deep learning for anomaly detection: A survey
R Chalapathy, S Chawla - arXiv preprint arXiv:1901.03407, 2019 - arxiv.org
Anomaly detection is an important problem that has been well-studied within diverse
research areas and application domains. The aim of this survey is two-fold, firstly we present …
research areas and application domains. The aim of this survey is two-fold, firstly we present …
Machine learning based cloud computing anomalies detection
Recently, machine learning algorithms have been proposed to design new security systems
for anomalies detection as they exhibit fast processing with real-time predictions. However …
for anomalies detection as they exhibit fast processing with real-time predictions. However …